An improved teaching-learning-based optimization for constrained evolutionary optimization
•An efficient subpopulation strategy is designed to increase the diversity of the teacher phase.•A novel ranking differential vector strategy is presented to promote the convergence of the learner phase.•A dynamic weighted sum is formulated to achieve the tradeoff between constraints and objective f...
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| Vydané v: | Information sciences Ročník 456; s. 131 - 144 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Inc
01.08.2018
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| ISSN: | 0020-0255, 1872-6291 |
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| Abstract | •An efficient subpopulation strategy is designed to increase the diversity of the teacher phase.•A novel ranking differential vector strategy is presented to promote the convergence of the learner phase.•A dynamic weighted sum is formulated to achieve the tradeoff between constraints and objective function.•A simple yet effective restart strategy is presented to settle complicated constraints.
When extending a global optimization technique for constrained optimization, we must balance not only diversity and convergence but also constraints and objective function. Based on these two criteria, the famous teaching-learning-based optimization (TLBO) is improved for constrained optimization. To balance diversity and convergence, an efficient subpopulation based teacher phase is designed to enhance diversity, while a ranking-differential-vector-based learner phase is proposed to promote convergence. In addition, how to select the teacher in the teacher phase and how to rank two solutions in the learner phase have a significant impact on the tradeoff between constraints and objective function. To address this issue, a dynamic weighted sum is formulated. Furthermore, a simple yet effective restart strategy is proposed to settle complicated constraints. By adopting the ε constraint-handling technique as the constraint-handling technique, a constrained optimization evolutionary algorithm, i.e., improved TLBO (ITLBO), is proposed. Experiments on a broad range of benchmark test functions reveal that ITLBO shows better or at least competitive performance against other constrained TLBOs and some other constrained optimization evolutionary algorithms. |
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| AbstractList | •An efficient subpopulation strategy is designed to increase the diversity of the teacher phase.•A novel ranking differential vector strategy is presented to promote the convergence of the learner phase.•A dynamic weighted sum is formulated to achieve the tradeoff between constraints and objective function.•A simple yet effective restart strategy is presented to settle complicated constraints.
When extending a global optimization technique for constrained optimization, we must balance not only diversity and convergence but also constraints and objective function. Based on these two criteria, the famous teaching-learning-based optimization (TLBO) is improved for constrained optimization. To balance diversity and convergence, an efficient subpopulation based teacher phase is designed to enhance diversity, while a ranking-differential-vector-based learner phase is proposed to promote convergence. In addition, how to select the teacher in the teacher phase and how to rank two solutions in the learner phase have a significant impact on the tradeoff between constraints and objective function. To address this issue, a dynamic weighted sum is formulated. Furthermore, a simple yet effective restart strategy is proposed to settle complicated constraints. By adopting the ε constraint-handling technique as the constraint-handling technique, a constrained optimization evolutionary algorithm, i.e., improved TLBO (ITLBO), is proposed. Experiments on a broad range of benchmark test functions reveal that ITLBO shows better or at least competitive performance against other constrained TLBOs and some other constrained optimization evolutionary algorithms. |
| Author | Wang, Bing-Chuan Li, Han-Xiong Feng, Yun |
| Author_xml | – sequence: 1 givenname: Bing-Chuan orcidid: 0000-0002-5750-0984 surname: Wang fullname: Wang, Bing-Chuan email: bingcwang3-c@my.cityu.edu.hk organization: Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong – sequence: 2 givenname: Han-Xiong surname: Li fullname: Li, Han-Xiong organization: Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong – sequence: 3 givenname: Yun surname: Feng fullname: Feng, Yun organization: Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong |
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| Cites_doi | 10.1016/j.ins.2014.05.033 10.1016/j.swevo.2011.10.001 10.1016/j.enconman.2017.04.054 10.1109/TEVC.2010.2093582 10.1109/TPWRS.2012.2208273 10.1016/j.ins.2013.06.011 10.1109/TCYB.2014.2298916 10.1016/j.ins.2012.11.009 10.1142/S0129065714500087 10.1016/j.swevo.2011.11.003 10.1145/2480741.2480752 10.1109/TSMCB.2006.883271 10.1016/j.ins.2016.03.023 10.1109/TCYB.2014.2334692 10.1016/j.asoc.2017.08.020 10.1016/j.compchemeng.2017.01.024 10.1016/j.ijepes.2015.05.036 10.1109/TCBB.2007.070202 10.1016/j.asoc.2013.07.009 10.1016/j.ins.2014.02.056 10.1016/j.ins.2014.11.026 10.2528/PIERB13030709 10.1016/j.ins.2016.02.054 10.1016/j.ins.2017.01.038 10.1007/s00500-014-1286-9 10.1007/s10462-009-9137-2 10.1016/j.ins.2017.02.055 10.1007/s00500-008-0357-1 10.1016/j.ijepes.2013.04.011 10.1016/j.ins.2014.03.038 10.1016/j.ins.2018.01.038 10.1016/j.compstruc.2012.12.011 10.1007/s10845-014-0918-3 10.1016/j.engappai.2016.12.014 10.1016/j.ins.2011.08.006 10.1109/TCYB.2015.2493239 10.1016/j.ins.2014.11.001 10.1016/j.ins.2017.09.053 |
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| References | Biswas, Kundu, Das, Vasilakos (bib0007) 2013 Rao, Savsani, Vakharia (bib0033) 2012; 183 Wang, Cai (bib0040) 2012; 16 Yu, While, Reynolds, Wang, Wang (bib0046) 2017; 99 Rao, Patel (bib0032) 2012; 3 Neri, Cotta (bib0026) 2012; 2 Cheng, Zhang, Neri (bib0012) 2013; 247 Degertekin, Hayalioglu (bib0016) 2013; 119 Zhang, Liu, Meng, Yang, Vasilakos (bib0048) 2017; 394 Yu, Wang, Wang (bib0045) 2016; 27 Saha, Datta, Deb (bib0034) 2010 Kundu, Das, Vasilakos, Biswas (bib0019) 2015; 19 Trivedi, Srinivasan, Biswas, Reindl (bib0037) 2016; 354 Zamli, Din, Baharom, Ahmed (bib0047) 2017; 59 Yu, Chen, Wang, Wang (bib0043) 2017; 145 Shao, Pi, Shao (bib0035) 2017; 61 Wang, Wang, Li, Yen (bib0041) 2016; 46 Zheng, Zhang, Tang, Zheng (bib0049) 2017; 399 Biswas, Eita, Das, Vasilakos (bib0005) 2014 Wang, Li, Li, Wang (bib0039) 2018 Takahama, Sakai (bib0036) 2010 Niknam, Azizipanah-Abarghooee, Aghaei (bib0029) 2013; 28 Das, Biswas, Kundu (bib0014) 2013; 13 Poikolainen, Neri, Caraffini (bib0031) 2015; 297 Bose, Biswas, Vasilakos, Laha (bib0008) 2014; 281 Neri, Tirronen (bib0027) 2010; 33 Banerjee, Maity, Chanda (bib0001) 2015; 73 Neri, Toivanen, Cascella, Ong (bib0028) 2007; 4 Biswas, Bose, Das, Kundu (bib0004) 2013; 52 Pan, Wang, Guo, Wu (bib0030) 2018; 436 Baykasoğlu, Hamzadayi, Köse (bib0002) 2014; 276 Gong, Cai, Liang (bib0017) 2015; 45 Iacca, Caraffini, Neri (bib0018) 2014; 24 Zou, Wang, Hei, Chen, Yang (bib0050) 2014; 273 Caponio, Neri, Tirronen (bib0010) 2009; 13 Biswas, Kundu, Bose, Das (bib0006) 2012 Yu, Wang, Wang (bib0044) 2016; 352 Mallipeddi, Suganthan (bib0022) 2010; 24 Waghmare (bib0038) 2013; 229 Chen, Zou, Li, Wang, Li (bib0011) 2015; 297 Liang, Shang, Li (bib0021) 2010 Bhattacharjee, Bhattacharya, Dey (bib0003) 2014; 21 Črepinšek, Liu, Mernik (bib0013) 2013; 45 Wu, Shen, Li, Chen, Lin, Suganthan (bib0042) 2018; 423 Mezura-Montes, Coello (bib0024) 2011; 1 Mezura-Montes, Velez-Koeppel (bib0025) 2010 Liang, Runarsson, Mezura-Montes, Clerc, Suganthan, Coello, Deb (bib0020) 2006; 41 Caponio, Cascella, Neri, Salvatore, Sumner (bib0009) 2007; 37 Mandal, Roy (bib0023) 2013; 53 Das, Biswas, Panigrahi, Kundu, Basu (bib0015) 2014; 44 Liang (10.1016/j.ins.2018.04.083_bib0021) 2010 Yu (10.1016/j.ins.2018.04.083_bib0043) 2017; 145 Caponio (10.1016/j.ins.2018.04.083_bib0009) 2007; 37 Biswas (10.1016/j.ins.2018.04.083_bib0005) 2014 Liang (10.1016/j.ins.2018.04.083_bib0020) 2006; 41 Pan (10.1016/j.ins.2018.04.083_bib0030) 2018; 436 Neri (10.1016/j.ins.2018.04.083_bib0027) 2010; 33 Poikolainen (10.1016/j.ins.2018.04.083_bib0031) 2015; 297 Wu (10.1016/j.ins.2018.04.083_bib0042) 2018; 423 Chen (10.1016/j.ins.2018.04.083_bib0011) 2015; 297 Zou (10.1016/j.ins.2018.04.083_bib0050) 2014; 273 Iacca (10.1016/j.ins.2018.04.083_bib0018) 2014; 24 Niknam (10.1016/j.ins.2018.04.083_bib0029) 2013; 28 Banerjee (10.1016/j.ins.2018.04.083_bib0001) 2015; 73 Wang (10.1016/j.ins.2018.04.083_bib0039) 2018 Biswas (10.1016/j.ins.2018.04.083_bib0006) 2012 Mezura-Montes (10.1016/j.ins.2018.04.083_bib0024) 2011; 1 Biswas (10.1016/j.ins.2018.04.083_bib0004) 2013; 52 Cheng (10.1016/j.ins.2018.04.083_bib0012) 2013; 247 Rao (10.1016/j.ins.2018.04.083_bib0033) 2012; 183 Wang (10.1016/j.ins.2018.04.083_bib0040) 2012; 16 Rao (10.1016/j.ins.2018.04.083_bib0032) 2012; 3 Waghmare (10.1016/j.ins.2018.04.083_bib0038) 2013; 229 Zamli (10.1016/j.ins.2018.04.083_bib0047) 2017; 59 Gong (10.1016/j.ins.2018.04.083_bib0017) 2015; 45 Kundu (10.1016/j.ins.2018.04.083_bib0019) 2015; 19 Neri (10.1016/j.ins.2018.04.083_bib0028) 2007; 4 Zheng (10.1016/j.ins.2018.04.083_bib0049) 2017; 399 Neri (10.1016/j.ins.2018.04.083_bib0026) 2012; 2 Črepinšek (10.1016/j.ins.2018.04.083_bib0013) 2013; 45 Baykasoğlu (10.1016/j.ins.2018.04.083_bib0002) 2014; 276 Degertekin (10.1016/j.ins.2018.04.083_bib0016) 2013; 119 Mezura-Montes (10.1016/j.ins.2018.04.083_bib0025) 2010 Yu (10.1016/j.ins.2018.04.083_bib0045) 2016; 27 Saha (10.1016/j.ins.2018.04.083_bib0034) 2010 Bhattacharjee (10.1016/j.ins.2018.04.083_bib0003) 2014; 21 Das (10.1016/j.ins.2018.04.083_bib0014) 2013; 13 Mallipeddi (10.1016/j.ins.2018.04.083_bib0022) 2010; 24 Yu (10.1016/j.ins.2018.04.083_bib0046) 2017; 99 Mandal (10.1016/j.ins.2018.04.083_bib0023) 2013; 53 Zhang (10.1016/j.ins.2018.04.083_bib0048) 2017; 394 Shao (10.1016/j.ins.2018.04.083_bib0035) 2017; 61 Trivedi (10.1016/j.ins.2018.04.083_bib0037) 2016; 354 Das (10.1016/j.ins.2018.04.083_bib0015) 2014; 44 Wang (10.1016/j.ins.2018.04.083_bib0041) 2016; 46 Caponio (10.1016/j.ins.2018.04.083_bib0010) 2009; 13 Biswas (10.1016/j.ins.2018.04.083_bib0007) 2013 Takahama (10.1016/j.ins.2018.04.083_bib0036) 2010 Bose (10.1016/j.ins.2018.04.083_bib0008) 2014; 281 Yu (10.1016/j.ins.2018.04.083_bib0044) 2016; 352 |
| References_xml | – volume: 21 start-page: 870 year: 2014 ident: bib0003 article-title: Teaching-learning-based optimization for different economic dispatch problems publication-title: Sc. Iranica. Trans. D Comput. Sci. Eng. Electr. – volume: 4 start-page: 264 year: 2007 end-page: 278 ident: bib0028 article-title: An adaptive multimeme algorithm for designing HIV multidrug therapies publication-title: IEEE/ACM Trans. Comput. Biol. Bioinf. – volume: 27 start-page: 831 year: 2016 end-page: 843 ident: bib0045 article-title: An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems publication-title: J. Intell. Manuf. – volume: 273 start-page: 112 year: 2014 end-page: 131 ident: bib0050 article-title: Teaching–learning-based optimization with dynamic group strategy for global optimization publication-title: Inf. Sci. (Ny) – volume: 37 start-page: 28 year: 2007 end-page: 41 ident: bib0009 article-title: A fast adaptive memetic algorithm for online and offline control design of PMSM drives publication-title: IEEE Trans. Syst. Man Cybern. Part B – start-page: 467 year: 2012 end-page: 475 ident: bib0006 article-title: Cooperative co-evolutionary teaching-learning based algorithm with a modified exploration strategy for large scale global optimization publication-title: Proceedings of the International Conference on Swarm, Evolutionary, and Memetic Computing – volume: 53 start-page: 123 year: 2013 end-page: 134 ident: bib0023 article-title: Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization publication-title: Int. J. Electr. Power Energy Syst. – volume: 16 start-page: 117 year: 2012 end-page: 134 ident: bib0040 article-title: Combining multiobjective optimization with differential evolution to solve constrained optimization problems publication-title: IEEE Trans. Evol. Comput. – start-page: 1076 year: 2014 end-page: 1083 ident: bib0005 article-title: Evaluating the performance of group counseling optimizer on CEC 2014 problems for computational expensive optimization publication-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) – start-page: 1 year: 2010 end-page: 8 ident: bib0025 article-title: Elitist artificial bee colony for constrained real-parameter optimization publication-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) – volume: 59 start-page: 35 year: 2017 end-page: 50 ident: bib0047 article-title: Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites publication-title: Eng. Appl. Artif. Intell. – volume: 61 start-page: 193 year: 2017 end-page: 210 ident: bib0035 article-title: An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem publication-title: Appl. Soft. Comput. – start-page: 1 year: 2010 end-page: 9 ident: bib0036 article-title: Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation publication-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) – volume: 46 start-page: 2938 year: 2016 end-page: 2952 ident: bib0041 article-title: Incorporating objective function information into the feasibility rule for constrained evolutionary optimization publication-title: IEEE Trans. Cybern. – volume: 423 start-page: 172 year: 2018 end-page: 186 ident: bib0042 article-title: Ensemble of differential evolution variants publication-title: Inf. Sci. (Ny) – volume: 41 year: 2006 ident: bib0020 article-title: Problem definitions and evaluation criteria for the CEC special session on constrained real-parameter optimization publication-title: J. Appl. Mech. – start-page: 1 year: 2010 end-page: 8 ident: bib0021 article-title: Coevolutionary comprehensive learning particle swarm optimizer publication-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) – volume: 45 start-page: 35 year: 2013 ident: bib0013 article-title: Exploration and exploitation in evolutionary algorithms: a survey publication-title: ACM Comput. Surv. (CSUR) – volume: 13 start-page: 4676 year: 2013 end-page: 4694 ident: bib0014 article-title: Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization publication-title: Appl. Soft. Comput. – volume: 352 start-page: 61 year: 2016 end-page: 78 ident: bib0044 article-title: Constrained optimization based on improved teaching–learning-based optimization algorithm publication-title: Inf. Sci. (Ny) – volume: 399 start-page: 13 year: 2017 end-page: 29 ident: bib0049 article-title: Differential evolution powered by collective information publication-title: Inf. Sci. (Ny) – volume: 99 start-page: 314 year: 2017 end-page: 324 ident: bib0046 article-title: Cyclic scheduling for an ethylene cracking furnace system using diversity learning teaching-learning-based optimization publication-title: Comput. Chem. Eng. – volume: 45 start-page: 716 year: 2015 end-page: 727 ident: bib0017 article-title: Adaptive ranking mutation operator based differential evolution for constrained optimization publication-title: IEEE Trans. Cybern. – volume: 297 start-page: 216 year: 2015 end-page: 235 ident: bib0031 article-title: Cluster-based population initialization for differential evolution frameworks publication-title: Inf. Sci. (Ny) – volume: 276 start-page: 204 year: 2014 end-page: 218 ident: bib0002 article-title: Testing the performance of teaching–learning based optimization (TLBO) algorithm on combinatorial problems: flow shop and job shop scheduling cases publication-title: Inf. Sci. (Ny) – volume: 183 start-page: 1 year: 2012 end-page: 15 ident: bib0033 article-title: Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems publication-title: Inf. Sci. (Ny) – volume: 297 start-page: 171 year: 2015 end-page: 190 ident: bib0011 article-title: An improved teaching–learning-based optimization algorithm for solving global optimization problem publication-title: Inf. Sci. (Ny) – volume: 24 year: 2010 ident: bib0022 article-title: Problem Definitions and Evaluation Criteria for the CEC 2010 Competition on Constrained Real-Parameter Optimization – volume: 145 start-page: 233 year: 2017 end-page: 246 ident: bib0043 article-title: Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization publication-title: Energy Convers. Manage. – volume: 394 start-page: 273 year: 2017 end-page: 298 ident: bib0048 article-title: Vector coevolving particle swarm optimization algorithm publication-title: Inf. Sci. (Ny) – volume: 229 start-page: 159 year: 2013 end-page: 169 ident: bib0038 article-title: Comments on a note on teaching–learning-based optimization algorithm publication-title: Inf. Sci. (Ny) – volume: 28 start-page: 749 year: 2013 end-page: 763 ident: bib0029 article-title: A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch publication-title: IEEE Trans. Power Syst. – volume: 19 start-page: 637 year: 2015 end-page: 659 ident: bib0019 article-title: A modified differential evolution-based combined routing and sleep scheduling scheme for lifetime maximization of wireless sensor networks publication-title: Soft Comput. – volume: 2 start-page: 1 year: 2012 end-page: 14 ident: bib0026 article-title: Memetic algorithms and memetic computing optimization: a literature review publication-title: Swarm Evol. Comput. – start-page: 1115 year: 2013 end-page: 1122 ident: bib0007 article-title: Teaching and learning best differential evolution with self adaptation for real parameter optimization publication-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) – volume: 1 start-page: 173 year: 2011 end-page: 194 ident: bib0024 article-title: Constraint-handling in nature-inspired numerical optimization: past, present and future publication-title: Swarm Evol. Comput. – volume: 52 start-page: 185 year: 2013 end-page: 205 ident: bib0004 article-title: Decomposition-based evolutionary multi-objective optimization approach to the design of concentric circular antenna arrays publication-title: Prog. Electromagn. Res. B – volume: 44 start-page: 1884 year: 2014 end-page: 1897 ident: bib0015 article-title: A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization publication-title: IEEE Trans. Cybern. – volume: 119 start-page: 177 year: 2013 end-page: 188 ident: bib0016 article-title: Sizing truss structures using teaching-learning-based optimization publication-title: Comput. Struct. – volume: 24 start-page: 1450008 year: 2014 ident: bib0018 article-title: Multi-strategy coevolving aging particle optimization publication-title: Int. J. Neural. Syst. – volume: 281 start-page: 443 year: 2014 end-page: 461 ident: bib0008 article-title: Optimal filter design using an improved artificial bee colony algorithm publication-title: Inf. Sci. (Ny) – volume: 247 start-page: 72 year: 2013 end-page: 93 ident: bib0012 article-title: Enhancing distributed differential evolution with multicultural migration for global numerical optimization publication-title: Inf. Sci. (Ny) – volume: 73 start-page: 456 year: 2015 end-page: 464 ident: bib0001 article-title: Teaching learning based optimization for economic load dispatch problem considering valve point loading effect publication-title: Int. J. Electr. Power Energy Syst. – volume: 3 start-page: 535 year: 2012 end-page: 560 ident: bib0032 article-title: An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems publication-title: Int. J. Ind. Eng. Comput. – volume: 13 start-page: 811 year: 2009 ident: bib0010 article-title: Super-fit control adaptation in memetic differential evolution frameworks publication-title: Soft Comput. – year: 2018 ident: bib0039 article-title: Composite differential evolution for constrained evolutionary optimization publication-title: Proceedings of the IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 436 start-page: 441 year: 2018 end-page: 465 ident: bib0030 article-title: A diversity enhanced multiobjective particle swarm optimization publication-title: Inf. Sci. (Ny) – volume: 354 start-page: 275 year: 2016 end-page: 300 ident: bib0037 article-title: A genetic algorithm–differential evolution based hybrid framework: case study on unit commitment scheduling problem publication-title: Inf. Sci. (Ny) – start-page: 1 year: 2010 end-page: 8 ident: bib0034 article-title: Hybrid gradient projection based genetic algorithms for constrained optimization publication-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) – volume: 33 start-page: 61 year: 2010 end-page: 106 ident: bib0027 article-title: Recent advances in differential evolution: a survey and experimental analysis publication-title: Artif. Intell. Rev. – volume: 281 start-page: 443 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0008 article-title: Optimal filter design using an improved artificial bee colony algorithm publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2014.05.033 – volume: 1 start-page: 173 issue: 4 year: 2011 ident: 10.1016/j.ins.2018.04.083_bib0024 article-title: Constraint-handling in nature-inspired numerical optimization: past, present and future publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.10.001 – volume: 145 start-page: 233 year: 2017 ident: 10.1016/j.ins.2018.04.083_bib0043 article-title: Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization publication-title: Energy Convers. Manage. doi: 10.1016/j.enconman.2017.04.054 – start-page: 1 year: 2010 ident: 10.1016/j.ins.2018.04.083_bib0036 article-title: Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation – volume: 16 start-page: 117 issue: 1 year: 2012 ident: 10.1016/j.ins.2018.04.083_bib0040 article-title: Combining multiobjective optimization with differential evolution to solve constrained optimization problems publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2010.2093582 – volume: 28 start-page: 749 issue: 2 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0029 article-title: A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2012.2208273 – volume: 247 start-page: 72 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0012 article-title: Enhancing distributed differential evolution with multicultural migration for global numerical optimization publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2013.06.011 – start-page: 1 year: 2010 ident: 10.1016/j.ins.2018.04.083_bib0025 article-title: Elitist artificial bee colony for constrained real-parameter optimization – volume: 44 start-page: 1884 issue: 10 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0015 article-title: A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2298916 – year: 2018 ident: 10.1016/j.ins.2018.04.083_bib0039 article-title: Composite differential evolution for constrained evolutionary optimization – volume: 229 start-page: 159 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0038 article-title: Comments on a note on teaching–learning-based optimization algorithm publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2012.11.009 – start-page: 1 year: 2010 ident: 10.1016/j.ins.2018.04.083_bib0034 article-title: Hybrid gradient projection based genetic algorithms for constrained optimization – start-page: 1076 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0005 article-title: Evaluating the performance of group counseling optimizer on CEC 2014 problems for computational expensive optimization – start-page: 467 year: 2012 ident: 10.1016/j.ins.2018.04.083_bib0006 article-title: Cooperative co-evolutionary teaching-learning based algorithm with a modified exploration strategy for large scale global optimization – start-page: 1115 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0007 article-title: Teaching and learning best differential evolution with self adaptation for real parameter optimization – volume: 24 start-page: 1450008 issue: 01 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0018 article-title: Multi-strategy coevolving aging particle optimization publication-title: Int. J. Neural. Syst. doi: 10.1142/S0129065714500087 – volume: 2 start-page: 1 year: 2012 ident: 10.1016/j.ins.2018.04.083_bib0026 article-title: Memetic algorithms and memetic computing optimization: a literature review publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.11.003 – volume: 41 issue: 8 year: 2006 ident: 10.1016/j.ins.2018.04.083_bib0020 article-title: Problem definitions and evaluation criteria for the CEC special session on constrained real-parameter optimization publication-title: J. Appl. Mech. – volume: 45 start-page: 35 issue: 3 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0013 article-title: Exploration and exploitation in evolutionary algorithms: a survey publication-title: ACM Comput. Surv. (CSUR) doi: 10.1145/2480741.2480752 – start-page: 1 year: 2010 ident: 10.1016/j.ins.2018.04.083_bib0021 article-title: Coevolutionary comprehensive learning particle swarm optimizer – volume: 37 start-page: 28 issue: 1 year: 2007 ident: 10.1016/j.ins.2018.04.083_bib0009 article-title: A fast adaptive memetic algorithm for online and offline control design of PMSM drives publication-title: IEEE Trans. Syst. Man Cybern. Part B doi: 10.1109/TSMCB.2006.883271 – volume: 354 start-page: 275 year: 2016 ident: 10.1016/j.ins.2018.04.083_bib0037 article-title: A genetic algorithm–differential evolution based hybrid framework: case study on unit commitment scheduling problem publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2016.03.023 – volume: 45 start-page: 716 issue: 4 year: 2015 ident: 10.1016/j.ins.2018.04.083_bib0017 article-title: Adaptive ranking mutation operator based differential evolution for constrained optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2334692 – volume: 61 start-page: 193 year: 2017 ident: 10.1016/j.ins.2018.04.083_bib0035 article-title: An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem publication-title: Appl. Soft. Comput. doi: 10.1016/j.asoc.2017.08.020 – volume: 99 start-page: 314 year: 2017 ident: 10.1016/j.ins.2018.04.083_bib0046 article-title: Cyclic scheduling for an ethylene cracking furnace system using diversity learning teaching-learning-based optimization publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2017.01.024 – volume: 73 start-page: 456 year: 2015 ident: 10.1016/j.ins.2018.04.083_bib0001 article-title: Teaching learning based optimization for economic load dispatch problem considering valve point loading effect publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2015.05.036 – volume: 4 start-page: 264 issue: 2 year: 2007 ident: 10.1016/j.ins.2018.04.083_bib0028 article-title: An adaptive multimeme algorithm for designing HIV multidrug therapies publication-title: IEEE/ACM Trans. Comput. Biol. Bioinf. doi: 10.1109/TCBB.2007.070202 – volume: 13 start-page: 4676 issue: 12 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0014 article-title: Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization publication-title: Appl. Soft. Comput. doi: 10.1016/j.asoc.2013.07.009 – volume: 276 start-page: 204 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0002 article-title: Testing the performance of teaching–learning based optimization (TLBO) algorithm on combinatorial problems: flow shop and job shop scheduling cases publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2014.02.056 – volume: 3 start-page: 535 issue: 4 year: 2012 ident: 10.1016/j.ins.2018.04.083_bib0032 article-title: An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems publication-title: Int. J. Ind. Eng. Comput. – volume: 297 start-page: 216 year: 2015 ident: 10.1016/j.ins.2018.04.083_bib0031 article-title: Cluster-based population initialization for differential evolution frameworks publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2014.11.026 – volume: 52 start-page: 185 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0004 article-title: Decomposition-based evolutionary multi-objective optimization approach to the design of concentric circular antenna arrays publication-title: Prog. Electromagn. Res. B doi: 10.2528/PIERB13030709 – volume: 24 year: 2010 ident: 10.1016/j.ins.2018.04.083_bib0022 – volume: 352 start-page: 61 year: 2016 ident: 10.1016/j.ins.2018.04.083_bib0044 article-title: Constrained optimization based on improved teaching–learning-based optimization algorithm publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2016.02.054 – volume: 394 start-page: 273 year: 2017 ident: 10.1016/j.ins.2018.04.083_bib0048 article-title: Vector coevolving particle swarm optimization algorithm publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2017.01.038 – volume: 19 start-page: 637 issue: 3 year: 2015 ident: 10.1016/j.ins.2018.04.083_bib0019 article-title: A modified differential evolution-based combined routing and sleep scheduling scheme for lifetime maximization of wireless sensor networks publication-title: Soft Comput. doi: 10.1007/s00500-014-1286-9 – volume: 33 start-page: 61 issue: 1–2 year: 2010 ident: 10.1016/j.ins.2018.04.083_bib0027 article-title: Recent advances in differential evolution: a survey and experimental analysis publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-009-9137-2 – volume: 21 start-page: 870 issue: 3 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0003 article-title: Teaching-learning-based optimization for different economic dispatch problems publication-title: Sc. Iranica. Trans. D Comput. Sci. Eng. Electr. – volume: 399 start-page: 13 year: 2017 ident: 10.1016/j.ins.2018.04.083_bib0049 article-title: Differential evolution powered by collective information publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2017.02.055 – volume: 13 start-page: 811 issue: 8–9 year: 2009 ident: 10.1016/j.ins.2018.04.083_bib0010 article-title: Super-fit control adaptation in memetic differential evolution frameworks publication-title: Soft Comput. doi: 10.1007/s00500-008-0357-1 – volume: 53 start-page: 123 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0023 article-title: Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2013.04.011 – volume: 273 start-page: 112 year: 2014 ident: 10.1016/j.ins.2018.04.083_bib0050 article-title: Teaching–learning-based optimization with dynamic group strategy for global optimization publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2014.03.038 – volume: 436 start-page: 441 year: 2018 ident: 10.1016/j.ins.2018.04.083_bib0030 article-title: A diversity enhanced multiobjective particle swarm optimization publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2018.01.038 – volume: 119 start-page: 177 year: 2013 ident: 10.1016/j.ins.2018.04.083_bib0016 article-title: Sizing truss structures using teaching-learning-based optimization publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2012.12.011 – volume: 27 start-page: 831 issue: 4 year: 2016 ident: 10.1016/j.ins.2018.04.083_bib0045 article-title: An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems publication-title: J. Intell. Manuf. doi: 10.1007/s10845-014-0918-3 – volume: 59 start-page: 35 year: 2017 ident: 10.1016/j.ins.2018.04.083_bib0047 article-title: Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2016.12.014 – volume: 183 start-page: 1 issue: 1 year: 2012 ident: 10.1016/j.ins.2018.04.083_bib0033 article-title: Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2011.08.006 – volume: 46 start-page: 2938 issue: 12 year: 2016 ident: 10.1016/j.ins.2018.04.083_bib0041 article-title: Incorporating objective function information into the feasibility rule for constrained evolutionary optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2015.2493239 – volume: 297 start-page: 171 year: 2015 ident: 10.1016/j.ins.2018.04.083_bib0011 article-title: An improved teaching–learning-based optimization algorithm for solving global optimization problem publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2014.11.001 – volume: 423 start-page: 172 year: 2018 ident: 10.1016/j.ins.2018.04.083_bib0042 article-title: Ensemble of differential evolution variants publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2017.09.053 |
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