A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems
The Sine Cosine Algorithm (SCA) has received much attention from engineering and scientific fields since it was proposed. Nevertheless, when solving multimodal or complex high dimensional optimization tasks, the conventional SCA still has a high probability of falling into the local optimal stagnati...
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| Veröffentlicht in: | Applied mathematics and computation Jg. 369; S. 124872 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Inc
15.03.2020
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| ISSN: | 0096-3003 |
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| Abstract | The Sine Cosine Algorithm (SCA) has received much attention from engineering and scientific fields since it was proposed. Nevertheless, when solving multimodal or complex high dimensional optimization tasks, the conventional SCA still has a high probability of falling into the local optimal stagnation or failing to obtain the global optimum solution. Additionally, it performspoorly in convergence. Therefore, in this study, a multi-strategy enhanced SCA, a memetic algorithm termed MSCA, is proposed, which combines multiple control mechanisms including Cauchy mutation operator, chaotic local search mechanism, opposition-based learning strategy and two operators based on differential evolution to achieve a better balance between exploration and exploitation. To verify its performance, MSCA was compared with 11 state-of-the-art original optimizers and variant algorithms on 23 continuous benchmark tasks including 7 unimodal tasks, 6 multimodal tasks, 10 various fixed-dimension multimodal functions, and several typical CEC2014 benchmark problems. Furthermore, MSCA was utilized to solve three constrained practical engineering problems including tension/compression spring design, welded beam design, and pressure vessel design. The experimental results demonstrate that the proposed algorithm MSCA is superior to other competitors in terms of quality of solutions and convergence speed and can serve as an effective andefficient computer-aided tool for practical tasks with complex search space. |
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| AbstractList | The Sine Cosine Algorithm (SCA) has received much attention from engineering and scientific fields since it was proposed. Nevertheless, when solving multimodal or complex high dimensional optimization tasks, the conventional SCA still has a high probability of falling into the local optimal stagnation or failing to obtain the global optimum solution. Additionally, it performspoorly in convergence. Therefore, in this study, a multi-strategy enhanced SCA, a memetic algorithm termed MSCA, is proposed, which combines multiple control mechanisms including Cauchy mutation operator, chaotic local search mechanism, opposition-based learning strategy and two operators based on differential evolution to achieve a better balance between exploration and exploitation. To verify its performance, MSCA was compared with 11 state-of-the-art original optimizers and variant algorithms on 23 continuous benchmark tasks including 7 unimodal tasks, 6 multimodal tasks, 10 various fixed-dimension multimodal functions, and several typical CEC2014 benchmark problems. Furthermore, MSCA was utilized to solve three constrained practical engineering problems including tension/compression spring design, welded beam design, and pressure vessel design. The experimental results demonstrate that the proposed algorithm MSCA is superior to other competitors in terms of quality of solutions and convergence speed and can serve as an effective andefficient computer-aided tool for practical tasks with complex search space. |
| ArticleNumber | 124872 |
| Author | Chen, Huiling Wang, Mingjing Zhao, Xuehua |
| Author_xml | – sequence: 1 givenname: Huiling surname: Chen fullname: Chen, Huiling email: Chenhuiling.jlu@gmail.cm organization: College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang 325035, China – sequence: 2 givenname: Mingjing surname: Wang fullname: Wang, Mingjing email: mingjingwang@duytan.edu.vn organization: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam – sequence: 3 givenname: Xuehua surname: Zhao fullname: Zhao, Xuehua email: lcrlc@sina.com organization: School of Digital Media, Shenzhen Institute of Information Technology, Shenzhen 518172, China |
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| Cites_doi | 10.1016/j.apm.2019.02.004 10.1142/9789812799371_0035 10.1016/j.enconman.2019.05.057 10.1016/j.asoc.2018.12.028 10.1016/j.advengsoft.2017.01.004 10.1016/j.eswa.2019.07.031 10.1016/j.compstruc.2006.11.020 10.1016/j.future.2019.02.028 10.1016/S0045-7825(01)00323-1 10.1016/j.eswa.2018.10.050 10.1007/s00500-011-0754-8 10.1115/1.2919393 10.1016/j.cad.2010.12.015 10.1007/s00224-004-1177-z 10.1109/TEVC.2009.2014613 10.1016/j.eswa.2018.06.057 10.1007/s10586-017-0815-6 10.1016/j.eswa.2017.07.043 10.1016/j.ins.2009.12.010 10.3923/itj.2011.1824.1829 10.1109/4235.687885 10.1007/978-3-540-68830-3_11 10.1109/ACCESS.2017.2748957 10.1016/j.knosys.2018.12.008 10.1007/s00521-017-3049-x 10.1007/s00500-016-2071-8 10.1016/j.engappai.2006.03.003 10.1016/j.advengsoft.2013.12.007 10.1016/j.swevo.2016.06.002 10.1016/j.eswa.2019.03.043 10.1016/S0098-1354(01)00772-4 10.1023/A:1008202821328 10.1016/j.knosys.2015.07.006 10.1016/j.ins.2011.03.016 10.1002/nme.1620210905 10.1108/02644401011008577 10.1016/j.advengsoft.2016.01.008 10.1109/TEVC.2005.857610 10.1016/j.apm.2018.07.044 10.1016/B978-0-12-809449-5.00007-3 10.1016/j.compstruc.2012.09.003 10.1061/(ASCE)0733-9496(1994)120:4(423) 10.1016/j.ijepes.2011.08.012 10.1016/j.asoc.2019.04.044 10.1016/j.amc.2006.11.033 10.1007/s00521-013-1485-9 10.1016/j.neucom.2017.04.060 10.1016/j.eswa.2017.08.038 10.1016/j.knosys.2015.12.022 10.1115/1.2912596 10.1016/j.ins.2011.03.018 10.1016/j.swevo.2011.03.001 10.21533/pen.v5i3.131 10.1016/j.swevo.2011.11.003 10.1109/4235.585893 10.1007/s00521-015-1920-1 10.1109/TEVC.2006.872133 10.1177/003754970107600201 10.1016/S0166-3615(99)00046-9 10.1109/TEVC.2008.919004 10.1080/03081070701303470 10.1016/j.ins.2019.04.022 10.1109/ACCESS.2019.2897580 10.1016/0960-0779(95)80030-K 10.1109/TEVC.2011.2173577 10.1016/S1474-0346(02)00011-3 10.1007/s10489-016-0825-8 10.1016/j.neucom.2015.11.018 |
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| Keywords | Differential evolution Cauchy mutation operator Chaotic local search Constrained mathematical modeling Opposition-based learning Memetic sine cosine algorithm |
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| References | Mirjalili, Lewis (bib0015) 2016; 95 Yu (bib0055) 2017 Simpson, Dandy, Murphy (bib0001) 1994; 120 Luo (bib0026) 2018; 64 Wang (bib0049) 2016; 177 Dhar, P.L., Introduction to Optimum Design. 2017. Cai (bib0022) 2019 Kirkpatrick, S. and M.P.Vecchi, Optimization by Simulated Annealing. 1987. 339–348. Wang (bib0062) 2014; 25 Kapitaniak (bib0067) 1995; 6 Nenavath, Jatoth (bib0036) 2017 Wang (bib0052) 2017 Mahdavi, Fesanghary, Damangir (bib0078) 2007; 188 Storn, Price (bib0009) 1997; 11 Deng, Xu, Zhao (bib0012) 2019; 7 Kaveh, Khayatazad (bib0080) 2012; 112-113 García (bib0069) 2010; 180 Belegundu, Arora (bib0073) 1985; 21 Kannan (bib0085) 1994; 116 Saremi, Mirjalili, Lewis (bib0025) 2017; 105 Mirjalili (bib0032) 2016; 96 Chen (bib0016) 2019; 71 Deng (bib0013) 2017; 21 Mirjalili (bib0024) 2016; 27 Zong, Kim, Loganathan (bib0031) 2001; 2 Rizk-Allah (bib0035) 2017; 5 Liu (bib0048) 2011; 10 Liang (bib0066) 2006; 10 Gupta, Deep (bib0070) 2019; 165 Gupta, Deep (bib0039) 2019; 119 Rudolph (bib0047) 1997; 1 Dan (bib0008) 2008; 12 Rashedi, Nezamabadi-Pour, Saryazdi (bib0028) 2012 Zhang, Sanderson (bib0063) 2009; 13 Zhou (bib0004) 2011; 1 Bhattacharya, Chattopadhyay (bib0061) 2011; 38 Mezura-Montes, Coello (bib0076) 2008; 37 Spall (bib0002) 2003 Li, Fang, Liu (bib0037) 2018; 91 He, Wang (bib0075) 2007; 20 Chen (bib0065) 2013; 17 Ekiz, Erdoğmus, özgür (bib0034) 2017; 5 Kaveh, Zolghadr (bib0023) 2017; 18 Asmar (bib0027) 2002; 26 Mirjalili, Mirjalili, Lewis (bib0021) 2014; 69 Kaveh, Talatahari (bib0083) 2010; 27 Coello Coello (bib0071) 2002; 191 Li (bib0079) 2007; 85 Neri, Cotta (bib0043) 2012; 2 Wolpert, Macready (bib0042) 1997; 1 Rahnamayan, Tizhoosh, Salama (bib0057) 2008 Hoos, Sttzle (bib0006) 2004 Droste, Jansen, Wegener (bib0005) 2006; 39 Xu (bib0019) 2019; 492 Coello (bib0081) 2000; 41 Yang (bib0014) 2010; 5792 Wang (bib0058) 2011; 181 Parejo (bib0003) 2012; 16 Brest (bib0064) 2006; 10 Abd Elaziz, Oliva, Xiong (bib0033) 2017; 90 Ghosh (bib0045) 2019; 116 Jia, Zheng, Khurram Khan (bib0054) 2011; 181 Shaw, Mukherjee, Ghoshal (bib0060) 2012; 35 Sandgren (bib0084) 1990; 112 Guo (bib0040) 2019; 81 Zou (bib0051) 2017; 20 dos Santos Coelho, Mariani (bib0053) 2008 Chen (bib0041) 2019; 195 Wienholt (bib0010) 1993 Deng, Wang (bib0044) 2017; 32 Tawhid, Savsani (bib0038) 2019; 31 Ji (bib0056) 2017; 5 Holland (bib0007) 1975; 6 Deb (bib0082) 1997 Heidari (bib0017) 2019; 97 Ergezer, Dan, Du (bib0059) 2009 Rao, Savsani, Vakharia (bib0030) 2011; 43 Tizhoosh (bib0068) 2005 Mirjalili (bib0018) 2015; 89 Ruíz, Capel, Pegalajar (bib0046) 2019; 76 Coello (bib0077) 2000 Kennedy, Eberhart (bib0011) 2002 Xu (bib0020) 2019; 129 Mirjalili, Jangir, Saremi (bib0050) 2017; 46 Coello, Montes (bib0072) 2002; 16 Li (10.1016/j.amc.2019.124872_bib0079) 2007; 85 Yang (10.1016/j.amc.2019.124872_bib0014) 2010; 5792 Spall (10.1016/j.amc.2019.124872_bib0002) 2003 Luo (10.1016/j.amc.2019.124872_bib0026) 2018; 64 Xu (10.1016/j.amc.2019.124872_bib0020) 2019; 129 Rao (10.1016/j.amc.2019.124872_bib0030) 2011; 43 Wang (10.1016/j.amc.2019.124872_bib0062) 2014; 25 Ergezer (10.1016/j.amc.2019.124872_bib0059) 2009 10.1016/j.amc.2019.124872_bib0029 Abd Elaziz (10.1016/j.amc.2019.124872_bib0033) 2017; 90 Mahdavi (10.1016/j.amc.2019.124872_bib0078) 2007; 188 Yu (10.1016/j.amc.2019.124872_bib0055) 2017 García (10.1016/j.amc.2019.124872_bib0069) 2010; 180 Coello (10.1016/j.amc.2019.124872_bib0081) 2000; 41 Saremi (10.1016/j.amc.2019.124872_bib0025) 2017; 105 Chen (10.1016/j.amc.2019.124872_bib0065) 2013; 17 Zou (10.1016/j.amc.2019.124872_bib0051) 2017; 20 Neri (10.1016/j.amc.2019.124872_bib0043) 2012; 2 Holland (10.1016/j.amc.2019.124872_bib0007) 1975; 6 Shaw (10.1016/j.amc.2019.124872_bib0060) 2012; 35 Deng (10.1016/j.amc.2019.124872_bib0012) 2019; 7 Storn (10.1016/j.amc.2019.124872_bib0009) 1997; 11 He (10.1016/j.amc.2019.124872_bib0075) 2007; 20 Xu (10.1016/j.amc.2019.124872_bib0019) 2019; 492 Liu (10.1016/j.amc.2019.124872_bib0048) 2011; 10 Rahnamayan (10.1016/j.amc.2019.124872_bib0057) 2008 Coello Coello (10.1016/j.amc.2019.124872_bib0071) 2002; 191 Guo (10.1016/j.amc.2019.124872_bib0040) 2019; 81 Rudolph (10.1016/j.amc.2019.124872_bib0047) 1997; 1 Sandgren (10.1016/j.amc.2019.124872_bib0084) 1990; 112 Kaveh (10.1016/j.amc.2019.124872_bib0023) 2017; 18 Kannan (10.1016/j.amc.2019.124872_bib0085) 1994; 116 Dan (10.1016/j.amc.2019.124872_bib0008) 2008; 12 Coello (10.1016/j.amc.2019.124872_bib0072) 2002; 16 Asmar (10.1016/j.amc.2019.124872_bib0027) 2002; 26 Mirjalili (10.1016/j.amc.2019.124872_bib0032) 2016; 96 Jia (10.1016/j.amc.2019.124872_bib0054) 2011; 181 Hoos (10.1016/j.amc.2019.124872_bib0006) 2004 Li (10.1016/j.amc.2019.124872_bib0037) 2018; 91 Liang (10.1016/j.amc.2019.124872_bib0066) 2006; 10 Coello (10.1016/j.amc.2019.124872_bib0077) 2000 Chen (10.1016/j.amc.2019.124872_bib0016) 2019; 71 Wolpert (10.1016/j.amc.2019.124872_bib0042) 1997; 1 Chen (10.1016/j.amc.2019.124872_bib0041) 2019; 195 Ji (10.1016/j.amc.2019.124872_bib0056) 2017; 5 Mezura-Montes (10.1016/j.amc.2019.124872_bib0076) 2008; 37 Zhang (10.1016/j.amc.2019.124872_bib0063) 2009; 13 Zhou (10.1016/j.amc.2019.124872_bib0004) 2011; 1 Mirjalili (10.1016/j.amc.2019.124872_bib0018) 2015; 89 Wang (10.1016/j.amc.2019.124872_bib0052) 2017 Bhattacharya (10.1016/j.amc.2019.124872_bib0061) 2011; 38 Ruíz (10.1016/j.amc.2019.124872_bib0046) 2019; 76 Tawhid (10.1016/j.amc.2019.124872_bib0038) 2019; 31 Kapitaniak (10.1016/j.amc.2019.124872_bib0067) 1995; 6 Mirjalili (10.1016/j.amc.2019.124872_bib0024) 2016; 27 Deb (10.1016/j.amc.2019.124872_bib0082) 1997 Kaveh (10.1016/j.amc.2019.124872_bib0083) 2010; 27 Heidari (10.1016/j.amc.2019.124872_bib0017) 2019; 97 Ekiz (10.1016/j.amc.2019.124872_bib0034) 2017; 5 dos Santos Coelho (10.1016/j.amc.2019.124872_bib0053) 2008 Wang (10.1016/j.amc.2019.124872_bib0058) 2011; 181 Droste (10.1016/j.amc.2019.124872_bib0005) 2006; 39 Zong (10.1016/j.amc.2019.124872_bib0031) 2001; 2 Gupta (10.1016/j.amc.2019.124872_bib0070) 2019; 165 Tizhoosh (10.1016/j.amc.2019.124872_bib0068) 2005 Rashedi (10.1016/j.amc.2019.124872_bib0028) 2012 Parejo (10.1016/j.amc.2019.124872_bib0003) 2012; 16 Brest (10.1016/j.amc.2019.124872_bib0064) 2006; 10 Rizk-Allah (10.1016/j.amc.2019.124872_bib0035) 2017; 5 Wang (10.1016/j.amc.2019.124872_bib0049) 2016; 177 10.1016/j.amc.2019.124872_bib0074 Mirjalili (10.1016/j.amc.2019.124872_bib0021) 2014; 69 Nenavath (10.1016/j.amc.2019.124872_bib0036) 2017 Mirjalili (10.1016/j.amc.2019.124872_bib0015) 2016; 95 Deng (10.1016/j.amc.2019.124872_bib0013) 2017; 21 Deng (10.1016/j.amc.2019.124872_bib0044) 2017; 32 Simpson (10.1016/j.amc.2019.124872_bib0001) 1994; 120 Gupta (10.1016/j.amc.2019.124872_bib0039) 2019; 119 Mirjalili (10.1016/j.amc.2019.124872_bib0050) 2017; 46 Wienholt (10.1016/j.amc.2019.124872_bib0010) 1993 Cai (10.1016/j.amc.2019.124872_bib0022) 2019 Belegundu (10.1016/j.amc.2019.124872_bib0073) 1985; 21 Kennedy (10.1016/j.amc.2019.124872_bib0011) 2002 Kaveh (10.1016/j.amc.2019.124872_bib0080) 2012; 112-113 Ghosh (10.1016/j.amc.2019.124872_bib0045) 2019; 116 |
| References_xml | – volume: 39 start-page: 525 year: 2006 end-page: 544 ident: bib0005 article-title: Upper and lower bounds for randomized search heuristics in black-boxoptimization publication-title: Theory Comput. Syst. – volume: 69 start-page: 46 year: 2014 end-page: 61 ident: bib0021 article-title: Grey wolfoptimizer publication-title: Adv. Eng. Softw. – volume: 1 start-page: 249 year: 1997 end-page: 258 ident: bib0047 article-title: Local convergence rates of simple evolutionary algorithms with cauchy mutations publication-title: IEEE Trans. Evolut. Comput. – volume: 6 start-page: 126 year: 1975 end-page: 137 ident: bib0007 publication-title: Adaptation in Natural andArtificial Systems, Ann Arbor – volume: 181 start-page: 4699 year: 2011 end-page: 4714 ident: bib0058 article-title: Enhancing particle swarm optimization using generalized opposition-based learning publication-title: Inf. Sci. (Ny) – year: 2017 ident: bib0036 article-title: Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking publication-title: Appl. Soft Comput. – volume: 46 start-page: 79 year: 2017 end-page: 95 ident: bib0050 article-title: Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems publication-title: Appl. Intell. – volume: 120 start-page: 423 year: 1994 end-page: 443 ident: bib0001 article-title: Genetic algorithms compared to other techniques for pipe optimisation publication-title: J. Water Resources Plann. Manag. – year: 2009 ident: bib0059 article-title: Oppositional biogeography-based optimization publication-title: Proceedings of the IEEE International Conference on Systems, Man Cybern. – volume: 96 start-page: 120 year: 2016 end-page: 133 ident: bib0032 article-title: SCA: asinecosine algorithm for solving optimization problems publication-title: Knowl Based Syst – volume: 2 start-page: 1 year: 2012 end-page: 14 ident: bib0043 article-title: Memetic algorithms and memetic computing optimization: a literature review publication-title: Swarm Evol. Comput. – start-page: 64 year: 2008 end-page: 79 ident: bib0057 article-title: Opposition-Based Differential Evolution – volume: 21 start-page: 1601 year: 1985 end-page: 1623 ident: bib0073 article-title: A study of math ematical program in gmethods for structural optimization publication-title: Int. J. Numer. Methods Eng. – reference: Kirkpatrick, S. and M.P.Vecchi, Optimization by Simulated Annealing. 1987. 339–348. – year: 2012 ident: bib0028 article-title: GSA: a gravitational search algorithm publication-title: Proceedings of the International E Conference on Computer and Knowledge Engineering – volume: 20 start-page: 89 year: 2007 end-page: 99 ident: bib0075 article-title: An effective co-evolutionary particle swarm optimization for constrained engineering design problems publication-title: Eng. Appl. Artif. Intell. – volume: 26 start-page: 785 year: 2002 end-page: 802 ident: bib0027 article-title: Validation tests on a distinct element model of vibrating cohesive particle systems publication-title: Comput Chem Eng – volume: 195 start-page: 927 year: 2019 end-page: 942 ident: bib0041 article-title: An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models publication-title: Energy Convers. Manag. – volume: 31 start-page: 915 year: 2019 end-page: 929 ident: bib0038 article-title: Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems publication-title: Neural Comput. Appl. – volume: 13 start-page: 945 year: 2009 end-page: 958 ident: bib0063 article-title: JADE: adaptive differential evolution with optional external archive publication-title: IEEE Trans. Evolution. Comput. – volume: 1 start-page: 32 year: 2011 end-page: 49 ident: bib0004 article-title: Multiobjective evolutionary algorithms: a survey of the state of the art publication-title: Swarm Evolut. Comput. – volume: 95 start-page: 51 year: 2016 end-page: 67 ident: bib0015 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. – start-page: 1 year: 2017 end-page: 15 ident: bib0055 article-title: CBSO: a memetic brain storm optimization with chaotic local search publication-title: Memet. Comput. – year: 2005 ident: bib0068 article-title: Opposition-Based learning:a news cheme for machine intelligence publication-title: Proceedings of the Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on – volume: 2 start-page: 60 year: 2001 end-page: 68 ident: bib0031 article-title: A new heuristic optimization algorithm:harmony search publication-title: Simulation – volume: 90 start-page: 484 year: 2017 end-page: 500 ident: bib0033 article-title: An improved opposition-based sineco sine algorithm for global optimization publication-title: Expert Syst. Appl. – volume: 492 start-page: 181 year: 2019 end-page: 203 ident: bib0019 article-title: Enhanced moth-flame optimizer with mutation strategy for global optimization publication-title: Inf. Sci. (Ny) – year: 2002 ident: bib0011 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks, 1995. Proceedings – volume: 191 start-page: 1245 year: 2002 end-page: 1287 ident: bib0071 article-title: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art publication-title: Comput. Methods Appl. Mech. Eng. – volume: 27 start-page: 1053 year: 2016 end-page: 1073 ident: bib0024 article-title: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems publication-title: Neural Comput. Appl. – volume: 10 start-page: 281 year: 2006 end-page: 295 ident: bib0066 article-title: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions publication-title: IEEE Trans. Evolut. Comput. – start-page: 490 year: 1993 end-page: 493 ident: bib0010 article-title: Minimizing the System Error in Feedforward Neural Networks with Evolution Strategy – volume: 16 start-page: 193 year: 2002 end-page: 203 ident: bib0072 article-title: Constraint-handling in genetic algorithms through the use of dominance-based tournament selection publication-title: Adv. Eng. Inf. – volume: 119 start-page: 210 year: 2019 end-page: 230 ident: bib0039 article-title: A hybrid self-adaptive sine cosine algorithm with opposition based learning publication-title: Expert Syst. Appl. – volume: 32 start-page: 121 year: 2017 end-page: 131 ident: bib0044 article-title: A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem publication-title: Swarm Evol. Comput. – reference: Dhar, P.L., Introduction to Optimum Design. 2017. – volume: 21 start-page: 4387 year: 2017 end-page: 4398 ident: bib0013 article-title: A novel collaborative optimization algorithm in solving complex optimization problems publication-title: Soft Comput. – volume: 18 start-page: 673 year: 2017 end-page: 701 ident: bib0023 article-title: Cyclical parthenogenes is algorithm:a new meta-heuristic algorithm publication-title: Asian J. Civil Eng. – volume: 10 start-page: 1824 year: 2011 end-page: 1829 ident: bib0048 article-title: A micro genetic algorithm with cauchy mutation for mechanical optimization design problems publication-title: Inf. Technol. J. – volume: 12 start-page: 702 year: 2008 end-page: 713 ident: bib0008 article-title: Biogeography-Based optimization publication-title: IEEE Trans. Evolut. Comput. – volume: 25 start-page: 297 year: 2014 end-page: 308 ident: bib0062 article-title: Hybrid krill herd algorithm with differential evolution for global numerical optimization publication-title: Neural Comput. Appl – volume: 188 start-page: 1567 year: 2007 end-page: 1579 ident: bib0078 article-title: An improved harmony search algorithm for solving optimization problems publication-title: Appl. Math. Comput. Appl. Math. Comput. – volume: 27 start-page: 155 year: 2010 end-page: 182 ident: bib0083 article-title: An improved ant colony optimization for constrained engineering design problems publication-title: Eng. Comput. (Swansea) – volume: 10 start-page: 646 year: 2006 end-page: 657 ident: bib0064 article-title: Self-Adapting control parameters in differential evolution:a comparative study on numerical bench mark problems publication-title: IEEE Trans. Evolut. Comput. – volume: 89 start-page: 228 year: 2015 end-page: 249 ident: bib0018 article-title: Moth-flame optimization algorithm: anovel nature-inspired heuristic paradigm publication-title: Knowl. Based Syst. – volume: 105 start-page: 30 year: 2017 end-page: 47 ident: bib0025 article-title: Grasshopper optimisation algorithm:theory and application publication-title: Adv. Eng. Softw. – volume: 180 start-page: 2044 year: 2010 end-page: 2064 ident: bib0069 article-title: Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power publication-title: Inf. Sci. (Ny) – volume: 7 start-page: 20281 year: 2019 end-page: 20292 ident: bib0012 article-title: An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem publication-title: IEEE Access – volume: 165 start-page: 374 year: 2019 end-page: 406 ident: bib0070 article-title: Improved sine cosine algorithm with crossover scheme for global optimization publication-title: Knowl. Based Syst. – volume: 20 start-page: 1765 year: 2017 end-page: 1774 ident: bib0051 article-title: Collision detection for virtual environment using particle swarm optimization with adaptive cauchy mutation publication-title: Cluster Comput. – volume: 17 start-page: 241 year: 2013 end-page: 258 ident: bib0065 article-title: Particle swarm optimization with an agingleader and challengers publication-title: IEEE Trans. Evolut. Comput. – start-page: 113 year: 2000 end-page: 127 ident: bib0077 article-title: Use of a Self-Adaptive Penalty Approach For Engineering Optimization Problems – volume: 85 start-page: 340 year: 2007 end-page: 349 ident: bib0079 article-title: A heuristic particle swarm optimizer for optimization of pin connected structures publication-title: Comput. Struct. – start-page: 497 year: 1997 end-page: 514 ident: bib0082 article-title: GeneAS: A Robust Optimal Design Technique for Mechanical Component Design – volume: 91 start-page: 63 year: 2018 end-page: 77 ident: bib0037 article-title: Parameter optimization of support vector regression based on sine cosine algorithm publication-title: Expert Syst. Appl. – volume: 116 start-page: 172 year: 2019 end-page: 185 ident: bib0045 article-title: Recursive memetic algorithm for gene selection in microarray data publication-title: Expert Syst. Appl. – volume: 5 start-page: 180 year: 2017 end-page: 192 ident: bib0035 article-title: A new sine cosine optimization algorithm for solving combined non-convex economic and emission power dispatch problems publication-title: Int. J. Energy Convers. – volume: 41 start-page: 113 year: 2000 end-page: 127 ident: bib0081 article-title: Use of a self-adaptive penalty approach for engineering optimization problems publication-title: Comput. Ind. – start-page: 368 year: 2003 end-page: 369 ident: bib0002 article-title: Introduction to Stochastic Search and Optimization – start-page: 275 year: 2008 end-page: 286 ident: bib0053 article-title: Self-adaptive differential evolution using chaotic local search for solving power economic dispatch with nonsmooth fuel cost function publication-title: Stud. Comput. Intell. – volume: 5 start-page: 378 year: 2017 end-page: 386 ident: bib0034 article-title: Solving constrained optimization problems with sine-cosine algorithm publication-title: Period. Eng. Natl. Sci. – volume: 1 start-page: 67 year: 1997 end-page: 82 ident: bib0042 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evolut. Comput. – volume: 181 start-page: 3175 year: 2011 end-page: 3187 ident: bib0054 article-title: An effective memetic differential evolution algorithm based on chaotic local search publication-title: Inf. Sci. (Ny) – volume: 112 start-page: 223 year: 1990 end-page: 229 ident: bib0084 article-title: Nonlinear integer and discrete programming in mechanical design optimization publication-title: J. Mech. Des. – volume: 38 start-page: 14001 year: 2011 end-page: 14010 ident: bib0061 article-title: Hybrid differential evolution with biogeography-based optimization algorithm for solution of economic emission load dispatch problems publication-title: Expert Syst. Appl. – start-page: 32 year: 2004 end-page: 37 ident: bib0006 article-title: Stochastic Local Search: Foundations & Applications – volume: 129 start-page: 135 year: 2019 end-page: 155 ident: bib0020 article-title: An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks publication-title: Expert Syst. Appl. – volume: 112-113 start-page: 283 year: 2012 end-page: 294 ident: bib0080 article-title: A new meta-heuristic method: ray optimization publication-title: Comput. Struct. – volume: 16 start-page: 527 year: 2012 end-page: 561 ident: bib0003 article-title: Metaheuristic optimization frameworks: a survey and benchmarking publication-title: Soft Comput. – volume: 5792 start-page: 169 year: 2010 end-page: 178 ident: bib0014 article-title: Firefly algorithms for multimodal optimization publication-title: Mathematics – volume: 81 year: 2019 ident: bib0040 article-title: Riesz fractional derivative elite-guided sine cosine algorithm publication-title: Appl. Soft Comput. – volume: 116 start-page: 405 year: 1994 end-page: 411 ident: bib0085 article-title: An augmented lagrange multiplier based method for mixedintegerdiscretecontinuous optimization and its applications to mechanical design publication-title: J. Mech. Des. – year: 2019 ident: bib0022 article-title: Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy publication-title: Expert Syst. Appl. – volume: 6 start-page: 237 year: 1995 end-page: 244 ident: bib0067 article-title: Continuous control and synchronization in chaotic systems publication-title: Chaos Solit. Fractals – volume: 71 start-page: 45 year: 2019 end-page: 59 ident: bib0016 article-title: A balanced whale optimization algorithm for constrained engineering design problems publication-title: Appl. Math. Model – volume: 43 start-page: 303 year: 2011 end-page: 315 ident: bib0030 article-title: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems publication-title: Comput. Aided Des. – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: bib0009 article-title: Differential evolution – A Simple and efficientheuristic for global optimization over continuous spaces publication-title: J. Global Optim. – volume: 5 start-page: 17881 year: 2017 end-page: 17895 ident: bib0056 article-title: Self-Adaptive gravitational search algorithm with a modified chaoticlocal search publication-title: IEEE Access – volume: 76 start-page: 356 year: 2019 end-page: 368 ident: bib0046 article-title: Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem publication-title: Appl. Soft Comput. – volume: 97 start-page: 849 year: 2019 end-page: 872 ident: bib0017 article-title: Harris hawks optimization: algorithm and applications publication-title: Future Generat. Comput. Syst. – volume: 35 start-page: 21 year: 2012 end-page: 33 ident: bib0060 article-title: A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems publication-title: Int. J. Electrical Power Energy Syst. – volume: 177 start-page: 147 year: 2016 end-page: 157 ident: bib0049 article-title: Opposition-based krill herd algorithm with Cauchy mutation and position clamping publication-title: Neurocomputing – year: 2017 ident: bib0052 article-title: Towards an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses publication-title: Neurocomputing – volume: 64 start-page: 654 year: 2018 end-page: 668 ident: bib0026 article-title: An improved grasshopper optimization algorithm with application to financial stress prediction publication-title: Appl. Math. Model – volume: 37 start-page: 443 year: 2008 end-page: 473 ident: bib0076 article-title: An empirical study about the usefulness of evolution strategies to solve constrained optimization problems publication-title: Int. J. Gen. Syst. – volume: 71 start-page: 45 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0016 article-title: A balanced whale optimization algorithm for constrained engineering design problems publication-title: Appl. Math. Model doi: 10.1016/j.apm.2019.02.004 – ident: 10.1016/j.amc.2019.124872_bib0029 doi: 10.1142/9789812799371_0035 – volume: 195 start-page: 927 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0041 article-title: An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2019.05.057 – volume: 76 start-page: 356 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0046 article-title: Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2018.12.028 – volume: 105 start-page: 30 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0025 article-title: Grasshopper optimisation algorithm:theory and application publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2017.01.004 – year: 2019 ident: 10.1016/j.amc.2019.124872_bib0022 article-title: Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2019.07.031 – year: 2017 ident: 10.1016/j.amc.2019.124872_bib0036 article-title: Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking publication-title: Appl. Soft Comput. – start-page: 497 year: 1997 ident: 10.1016/j.amc.2019.124872_bib0082 – start-page: 113 year: 2000 ident: 10.1016/j.amc.2019.124872_bib0077 – year: 2005 ident: 10.1016/j.amc.2019.124872_bib0068 article-title: Opposition-Based learning:a news cheme for machine intelligence – volume: 85 start-page: 340 issue: 7 year: 2007 ident: 10.1016/j.amc.2019.124872_bib0079 article-title: A heuristic particle swarm optimizer for optimization of pin connected structures publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2006.11.020 – year: 2012 ident: 10.1016/j.amc.2019.124872_bib0028 article-title: GSA: a gravitational search algorithm – volume: 97 start-page: 849 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0017 article-title: Harris hawks optimization: algorithm and applications publication-title: Future Generat. Comput. Syst. doi: 10.1016/j.future.2019.02.028 – start-page: 490 year: 1993 ident: 10.1016/j.amc.2019.124872_bib0010 – volume: 191 start-page: 1245 issue: 11 year: 2002 ident: 10.1016/j.amc.2019.124872_bib0071 article-title: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art publication-title: Comput. Methods Appl. Mech. Eng. doi: 10.1016/S0045-7825(01)00323-1 – volume: 119 start-page: 210 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0039 article-title: A hybrid self-adaptive sine cosine algorithm with opposition based learning publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2018.10.050 – volume: 16 start-page: 527 issue: 3 year: 2012 ident: 10.1016/j.amc.2019.124872_bib0003 article-title: Metaheuristic optimization frameworks: a survey and benchmarking publication-title: Soft Comput. doi: 10.1007/s00500-011-0754-8 – volume: 116 start-page: 405 issue: 2 year: 1994 ident: 10.1016/j.amc.2019.124872_bib0085 article-title: An augmented lagrange multiplier based method for mixedintegerdiscretecontinuous optimization and its applications to mechanical design publication-title: J. Mech. Des. doi: 10.1115/1.2919393 – volume: 43 start-page: 303 issue: 3 year: 2011 ident: 10.1016/j.amc.2019.124872_bib0030 article-title: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems publication-title: Comput. Aided Des. doi: 10.1016/j.cad.2010.12.015 – volume: 39 start-page: 525 issue: 4 year: 2006 ident: 10.1016/j.amc.2019.124872_bib0005 article-title: Upper and lower bounds for randomized search heuristics in black-boxoptimization publication-title: Theory Comput. Syst. doi: 10.1007/s00224-004-1177-z – year: 2002 ident: 10.1016/j.amc.2019.124872_bib0011 article-title: Particle swarm optimization – volume: 13 start-page: 945 issue: 5 year: 2009 ident: 10.1016/j.amc.2019.124872_bib0063 article-title: JADE: adaptive differential evolution with optional external archive publication-title: IEEE Trans. Evolution. Comput. doi: 10.1109/TEVC.2009.2014613 – volume: 116 start-page: 172 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0045 article-title: Recursive memetic algorithm for gene selection in microarray data publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2018.06.057 – volume: 20 start-page: 1765 issue: 2 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0051 article-title: Collision detection for virtual environment using particle swarm optimization with adaptive cauchy mutation publication-title: Cluster Comput. doi: 10.1007/s10586-017-0815-6 – volume: 90 start-page: 484 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0033 article-title: An improved opposition-based sineco sine algorithm for global optimization publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2017.07.043 – volume: 180 start-page: 2044 issue: 10 year: 2010 ident: 10.1016/j.amc.2019.124872_bib0069 article-title: Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2009.12.010 – volume: 10 start-page: 1824 issue: 9 year: 2011 ident: 10.1016/j.amc.2019.124872_bib0048 article-title: A micro genetic algorithm with cauchy mutation for mechanical optimization design problems publication-title: Inf. Technol. J. doi: 10.3923/itj.2011.1824.1829 – volume: 1 start-page: 249 issue: 4 year: 1997 ident: 10.1016/j.amc.2019.124872_bib0047 article-title: Local convergence rates of simple evolutionary algorithms with cauchy mutations publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/4235.687885 – start-page: 275 year: 2008 ident: 10.1016/j.amc.2019.124872_bib0053 article-title: Self-adaptive differential evolution using chaotic local search for solving power economic dispatch with nonsmooth fuel cost function publication-title: Stud. Comput. Intell. doi: 10.1007/978-3-540-68830-3_11 – volume: 5 start-page: 17881 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0056 article-title: Self-Adaptive gravitational search algorithm with a modified chaoticlocal search publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2748957 – year: 2009 ident: 10.1016/j.amc.2019.124872_bib0059 article-title: Oppositional biogeography-based optimization – volume: 165 start-page: 374 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0070 article-title: Improved sine cosine algorithm with crossover scheme for global optimization publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2018.12.008 – volume: 31 start-page: 915 issue: 2 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0038 article-title: Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems publication-title: Neural Comput. Appl. doi: 10.1007/s00521-017-3049-x – volume: 21 start-page: 4387 issue: 15 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0013 article-title: A novel collaborative optimization algorithm in solving complex optimization problems publication-title: Soft Comput. doi: 10.1007/s00500-016-2071-8 – volume: 20 start-page: 89 issue: 1 year: 2007 ident: 10.1016/j.amc.2019.124872_bib0075 article-title: An effective co-evolutionary particle swarm optimization for constrained engineering design problems publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2006.03.003 – volume: 69 start-page: 46 issue: 3 year: 2014 ident: 10.1016/j.amc.2019.124872_bib0021 article-title: Grey wolfoptimizer publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2013.12.007 – volume: 6 start-page: 126 year: 1975 ident: 10.1016/j.amc.2019.124872_bib0007 – volume: 32 start-page: 121 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0044 article-title: A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2016.06.002 – volume: 129 start-page: 135 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0020 article-title: An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2019.03.043 – volume: 18 start-page: 673 issue: 5 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0023 article-title: Cyclical parthenogenes is algorithm:a new meta-heuristic algorithm publication-title: Asian J. Civil Eng. – volume: 26 start-page: 785 issue: 6 year: 2002 ident: 10.1016/j.amc.2019.124872_bib0027 article-title: Validation tests on a distinct element model of vibrating cohesive particle systems publication-title: Comput Chem Eng doi: 10.1016/S0098-1354(01)00772-4 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10.1016/j.amc.2019.124872_bib0009 article-title: Differential evolution – A Simple and efficientheuristic for global optimization over continuous spaces publication-title: J. Global Optim. doi: 10.1023/A:1008202821328 – volume: 89 start-page: 228 year: 2015 ident: 10.1016/j.amc.2019.124872_bib0018 article-title: Moth-flame optimization algorithm: anovel nature-inspired heuristic paradigm publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2015.07.006 – volume: 5792 start-page: 169 year: 2010 ident: 10.1016/j.amc.2019.124872_bib0014 article-title: Firefly algorithms for multimodal optimization publication-title: Mathematics – start-page: 1 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0055 article-title: CBSO: a memetic brain storm optimization with chaotic local search publication-title: Memet. Comput. – volume: 181 start-page: 4699 issue: 20 year: 2011 ident: 10.1016/j.amc.2019.124872_bib0058 article-title: Enhancing particle swarm optimization using generalized opposition-based learning publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2011.03.016 – volume: 21 start-page: 1601 issue: 9 year: 1985 ident: 10.1016/j.amc.2019.124872_bib0073 article-title: A study of math ematical program in gmethods for structural optimization publication-title: Int. J. Numer. Methods Eng. doi: 10.1002/nme.1620210905 – volume: 27 start-page: 155 issue: 1 year: 2010 ident: 10.1016/j.amc.2019.124872_bib0083 article-title: An improved ant colony optimization for constrained engineering design problems publication-title: Eng. Comput. (Swansea) doi: 10.1108/02644401011008577 – volume: 95 start-page: 51 year: 2016 ident: 10.1016/j.amc.2019.124872_bib0015 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – volume: 10 start-page: 281 issue: 3 year: 2006 ident: 10.1016/j.amc.2019.124872_bib0066 article-title: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2005.857610 – volume: 64 start-page: 654 year: 2018 ident: 10.1016/j.amc.2019.124872_bib0026 article-title: An improved grasshopper optimization algorithm with application to financial stress prediction publication-title: Appl. Math. Model doi: 10.1016/j.apm.2018.07.044 – ident: 10.1016/j.amc.2019.124872_bib0074 doi: 10.1016/B978-0-12-809449-5.00007-3 – volume: 112-113 start-page: 283 issue: 4 year: 2012 ident: 10.1016/j.amc.2019.124872_bib0080 article-title: A new meta-heuristic method: ray optimization publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2012.09.003 – volume: 120 start-page: 423 issue: 4 year: 1994 ident: 10.1016/j.amc.2019.124872_bib0001 article-title: Genetic algorithms compared to other techniques for pipe optimisation publication-title: J. Water Resources Plann. Manag. doi: 10.1061/(ASCE)0733-9496(1994)120:4(423) – volume: 35 start-page: 21 issue: 1 year: 2012 ident: 10.1016/j.amc.2019.124872_bib0060 article-title: A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems publication-title: Int. J. Electrical Power Energy Syst. doi: 10.1016/j.ijepes.2011.08.012 – volume: 81 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0040 article-title: Riesz fractional derivative elite-guided sine cosine algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2019.04.044 – volume: 188 start-page: 1567 issue: 2 year: 2007 ident: 10.1016/j.amc.2019.124872_bib0078 article-title: An improved harmony search algorithm for solving optimization problems publication-title: Appl. Math. Comput. Appl. Math. Comput. doi: 10.1016/j.amc.2006.11.033 – volume: 25 start-page: 297 issue: 2 year: 2014 ident: 10.1016/j.amc.2019.124872_bib0062 article-title: Hybrid krill herd algorithm with differential evolution for global numerical optimization publication-title: Neural Comput. Appl doi: 10.1007/s00521-013-1485-9 – year: 2017 ident: 10.1016/j.amc.2019.124872_bib0052 article-title: Towards an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.04.060 – volume: 91 start-page: 63 year: 2018 ident: 10.1016/j.amc.2019.124872_bib0037 article-title: Parameter optimization of support vector regression based on sine cosine algorithm publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2017.08.038 – volume: 38 start-page: 14001 issue: 11 year: 2011 ident: 10.1016/j.amc.2019.124872_bib0061 article-title: Hybrid differential evolution with biogeography-based optimization algorithm for solution of economic emission load dispatch problems publication-title: Expert Syst. Appl. – volume: 96 start-page: 120 year: 2016 ident: 10.1016/j.amc.2019.124872_bib0032 article-title: SCA: asinecosine algorithm for solving optimization problems publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2015.12.022 – volume: 112 start-page: 223 issue: 2 year: 1990 ident: 10.1016/j.amc.2019.124872_bib0084 article-title: Nonlinear integer and discrete programming in mechanical design optimization publication-title: J. Mech. Des. doi: 10.1115/1.2912596 – volume: 181 start-page: 3175 issue: 15 year: 2011 ident: 10.1016/j.amc.2019.124872_bib0054 article-title: An effective memetic differential evolution algorithm based on chaotic local search publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2011.03.018 – volume: 1 start-page: 32 issue: 1 year: 2011 ident: 10.1016/j.amc.2019.124872_bib0004 article-title: Multiobjective evolutionary algorithms: a survey of the state of the art publication-title: Swarm Evolut. Comput. doi: 10.1016/j.swevo.2011.03.001 – volume: 5 start-page: 378 issue: 3 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0034 article-title: Solving constrained optimization problems with sine-cosine algorithm publication-title: Period. Eng. Natl. Sci. doi: 10.21533/pen.v5i3.131 – volume: 2 start-page: 1 year: 2012 ident: 10.1016/j.amc.2019.124872_bib0043 article-title: Memetic algorithms and memetic computing optimization: a literature review publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.11.003 – start-page: 64 year: 2008 ident: 10.1016/j.amc.2019.124872_bib0057 – volume: 1 start-page: 67 issue: 1 year: 1997 ident: 10.1016/j.amc.2019.124872_bib0042 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/4235.585893 – volume: 27 start-page: 1053 issue: 4 year: 2016 ident: 10.1016/j.amc.2019.124872_bib0024 article-title: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems publication-title: Neural Comput. Appl. doi: 10.1007/s00521-015-1920-1 – volume: 10 start-page: 646 issue: 6 year: 2006 ident: 10.1016/j.amc.2019.124872_bib0064 article-title: Self-Adapting control parameters in differential evolution:a comparative study on numerical bench mark problems publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2006.872133 – volume: 2 start-page: 60 issue: 2 year: 2001 ident: 10.1016/j.amc.2019.124872_bib0031 article-title: A new heuristic optimization algorithm:harmony search publication-title: Simulation doi: 10.1177/003754970107600201 – volume: 41 start-page: 113 issue: 2 year: 2000 ident: 10.1016/j.amc.2019.124872_bib0081 article-title: Use of a self-adaptive penalty approach for engineering optimization problems publication-title: Comput. Ind. doi: 10.1016/S0166-3615(99)00046-9 – volume: 12 start-page: 702 issue: 6 year: 2008 ident: 10.1016/j.amc.2019.124872_bib0008 article-title: Biogeography-Based optimization publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2008.919004 – volume: 37 start-page: 443 issue: 4 year: 2008 ident: 10.1016/j.amc.2019.124872_bib0076 article-title: An empirical study about the usefulness of evolution strategies to solve constrained optimization problems publication-title: Int. J. Gen. Syst. doi: 10.1080/03081070701303470 – volume: 492 start-page: 181 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0019 article-title: Enhanced moth-flame optimizer with mutation strategy for global optimization publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2019.04.022 – volume: 7 start-page: 20281 year: 2019 ident: 10.1016/j.amc.2019.124872_bib0012 article-title: An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2897580 – volume: 6 start-page: 237 issue: 1 year: 1995 ident: 10.1016/j.amc.2019.124872_bib0067 article-title: Continuous control and synchronization in chaotic systems publication-title: Chaos Solit. Fractals doi: 10.1016/0960-0779(95)80030-K – start-page: 368 year: 2003 ident: 10.1016/j.amc.2019.124872_bib0002 – volume: 5 start-page: 180 issue: 6 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0035 article-title: A new sine cosine optimization algorithm for solving combined non-convex economic and emission power dispatch problems publication-title: Int. J. Energy Convers. – volume: 17 start-page: 241 issue: 2 year: 2013 ident: 10.1016/j.amc.2019.124872_bib0065 article-title: Particle swarm optimization with an agingleader and challengers publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2011.2173577 – volume: 16 start-page: 193 issue: 3 year: 2002 ident: 10.1016/j.amc.2019.124872_bib0072 article-title: Constraint-handling in genetic algorithms through the use of dominance-based tournament selection publication-title: Adv. Eng. Inf. doi: 10.1016/S1474-0346(02)00011-3 – volume: 46 start-page: 79 issue: 1 year: 2017 ident: 10.1016/j.amc.2019.124872_bib0050 article-title: Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems publication-title: Appl. Intell. doi: 10.1007/s10489-016-0825-8 – start-page: 32 year: 2004 ident: 10.1016/j.amc.2019.124872_bib0006 – volume: 177 start-page: 147 year: 2016 ident: 10.1016/j.amc.2019.124872_bib0049 article-title: Opposition-based krill herd algorithm with Cauchy mutation and position clamping publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.11.018 |
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