Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems
•In this paper, a new metaheuristic algorithm that is inspired by farmland fertility in nature is presented which is evaluated by using large number of mathematical problem of standard benchmark.•We compared it with other powerful metaheuristic algorithms such as: ABC, FA, HS, PSO, DA, BA and improv...
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| Veröffentlicht in: | Applied soft computing Jg. 71; S. 728 - 746 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.10.2018
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| Schlagworte: | |
| ISSN: | 1568-4946, 1872-9681 |
| Online-Zugang: | Volltext |
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| Abstract | •In this paper, a new metaheuristic algorithm that is inspired by farmland fertility in nature is presented which is evaluated by using large number of mathematical problem of standard benchmark.•We compared it with other powerful metaheuristic algorithms such as: ABC, FA, HS, PSO, DA, BA and improved PSO.•The proposed metaheuristic algorithm is very simple and very flexible than other available metaheuristic algorithms. And with smaller dimensions problems has been able to act as a strong metaheuristic algorithm and it has optimized problems nicely.
Nowadays, the use of metaheuristic algorithms has dramatically increased in order to achieve the optimal solution in solving continuous optimization problems. In this paper, a new metaheuristic algorithm that is inspired by farmland fertility in nature is presented; this algorithm divides into several parts of the farmland, and to optimize solutions of each section with optimal efficiency of two types in internal and external memory. In order to evaluate the farmland fertility, we simulated it on 20 main function of mathematical optimization that is important to evaluate this type of algorithms and the results displayed. This farmland fertility has been compared with other metaheuristic algorithms such as; artificial bee colony (ABC), firefly algorithm (FA), harmony search (HS), particle swarm optimization (PSO), differential evolution (DE), bat algorithm (BA), and improved PSO and the results are displayed clearly. Simulations show that the farmland fertility often acts better than other metaheuristic algorithms. The farmland fertility in problems with smaller dimensions problems has been able to act as a strong metaheuristic algorithm and it has optimized problems nicely. Furthermore, the farmland fertility in problems with larger dimensions has been able to perform better than other algorithms. The effectiveness of other algorithms decreases significantly with number of dimensions and the farmland fertility obtains better results than other algorithms. |
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| AbstractList | •In this paper, a new metaheuristic algorithm that is inspired by farmland fertility in nature is presented which is evaluated by using large number of mathematical problem of standard benchmark.•We compared it with other powerful metaheuristic algorithms such as: ABC, FA, HS, PSO, DA, BA and improved PSO.•The proposed metaheuristic algorithm is very simple and very flexible than other available metaheuristic algorithms. And with smaller dimensions problems has been able to act as a strong metaheuristic algorithm and it has optimized problems nicely.
Nowadays, the use of metaheuristic algorithms has dramatically increased in order to achieve the optimal solution in solving continuous optimization problems. In this paper, a new metaheuristic algorithm that is inspired by farmland fertility in nature is presented; this algorithm divides into several parts of the farmland, and to optimize solutions of each section with optimal efficiency of two types in internal and external memory. In order to evaluate the farmland fertility, we simulated it on 20 main function of mathematical optimization that is important to evaluate this type of algorithms and the results displayed. This farmland fertility has been compared with other metaheuristic algorithms such as; artificial bee colony (ABC), firefly algorithm (FA), harmony search (HS), particle swarm optimization (PSO), differential evolution (DE), bat algorithm (BA), and improved PSO and the results are displayed clearly. Simulations show that the farmland fertility often acts better than other metaheuristic algorithms. The farmland fertility in problems with smaller dimensions problems has been able to act as a strong metaheuristic algorithm and it has optimized problems nicely. Furthermore, the farmland fertility in problems with larger dimensions has been able to perform better than other algorithms. The effectiveness of other algorithms decreases significantly with number of dimensions and the farmland fertility obtains better results than other algorithms. |
| Author | Gharehchopogh, Farhad Soleimanian Shayanfar, Human |
| Author_xml | – sequence: 1 givenname: Human surname: Shayanfar fullname: Shayanfar, Human – sequence: 2 givenname: Farhad Soleimanian surname: Gharehchopogh fullname: Gharehchopogh, Farhad Soleimanian email: bonab.farhad@gmail.com |
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| Cites_doi | 10.1016/j.ins.2015.04.031 10.1016/j.compstruc.2014.03.007 10.1162/evco.1995.3.1.1 10.1504/IJBIC.2010.032124 10.1371/journal.pone.0163230 10.1016/j.swevo.2014.10.002 10.1007/978-981-10-3770-2_48 10.1016/j.asoc.2015.12.046 10.1016/j.ins.2015.01.020 10.1177/003754970107600201 10.3906/elk-1205-80 10.1016/j.compstruc.2004.01.002 10.1016/j.cie.2009.11.003 10.1016/j.asoc.2015.02.014 10.1007/s11432-012-4548-0 10.1007/s00500-014-1307-8 10.1109/TEVC.2010.2059031 10.1007/s10898-007-9149-x 10.1016/j.asoc.2014.11.029 10.1016/j.cma.2004.09.007 10.1016/j.camwa.2012.06.026 10.1016/j.knosys.2011.07.001 10.1016/j.cnsns.2012.07.017 10.1016/j.asoc.2012.05.018 10.1007/s00521-012-1028-9 10.1016/j.eswa.2016.10.050 10.1016/j.swevo.2014.02.002 10.1016/j.ins.2014.08.053 10.1108/02644401211235834 10.1016/j.asoc.2015.10.034 10.1016/j.ins.2016.03.025 10.1016/j.asoc.2016.05.007 10.1016/j.ins.2015.07.009 10.1007/s00500-015-1912-1 10.1016/j.advengsoft.2016.01.008 10.1016/j.ins.2009.03.004 10.1016/j.eswa.2014.03.053 10.1016/j.asoc.2016.12.042 10.1016/j.epsr.2008.12.014 10.1023/A:1008202821328 10.1016/j.cnsns.2012.05.010 10.1504/IJBIC.2011.038700 10.1016/j.asoc.2016.12.017 10.1109/TPWRD.2003.813641 |
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| References | Sarbazfard, Jafarian (bib0300) 2017; 8 El-Abd (bib0240) 2013; 222 Fister, Fister, Yang (bib0270) 2013; 80 Li, Yang (bib0155) 2016; 41 Muthiah-Nakarajan, Noel (bib0005) 2016; 38 Su, Lee (bib0110) 2003; 18 Kavousi-Fard, Samet, Marzbani (bib0105) 2014; 41 Biswas, Tiwari, Misra (bib0145) 2013 Karaboga, Basturk (bib0160) 2007; 39 Gandomi, Yang, Alavi, Talatahari (bib0255) 2013; 22 Lee, Geem (bib0120) 2004; 82 Yang (bib0250) 2010 Pan (bib0040) 2012; 26 Topal, Altun (bib0080) 2016; 354 Lee, Geem (bib0205) 2005; 194 Ouyang, Gao, Li, Kong (bib0225) 2015; 305 Kattan, Abdullah (bib0235) 2013; 219 James, Victor (bib0335) 2015; 30 Moosavian (bib0030) 2015; 20 Gandomi, Alavi (bib0315) 2012; 17 Kuo, Ferani (bib0020) 2015; 316 Dai, Zhu, Chen (bib0185) 2007 Yassen, Ayob, Ahmad Nazri, Sabar (bib0220) 2015; 325 Jamil, Xin-She (bib0090) 2013; 4 Alam, Kabir (bib0265) 2014; 100 Cheng, Doddy (bib0025) 2014; 139 Yang (bib0035) 2010; Vol. XXVI Zhong, Li, Zhong (bib0165) 2016; 46 Karaboga (bib0065) 2005; 3 Wang, Guo (bib0075) 2013 Gomes, Saraiva (bib0130) 2009; 79 Yilmaz, Küçüksille (bib0275) 2015; 28 Saha, Mukherjee (bib0310) 2017 Mirjalili, Lewis (bib0330) 2016; 95 Tayarani-N, Akbarzadeh-T (bib0055) 2008 Zheng, Diao, Shen (bib0215) 2015; 19 Xue, Jiang, Zhao, Ma (bib0175) 2017 Doğan, Ölmez (bib0325) 2015; 293 Fonseca, Fleming (bib0140) 1995; 3 Cheng, Prayogo (bib0305) 2014; 139 Ramezani, Lotfi (bib0190) 2013; 13 Ouyang, Gao, Li, Kong, Wang, Zou (bib0210) 2017; 53 Yang (bib0285) 2010; 2 Zou, Gao, Wu, Li, Li (bib0230) 2010; 58 Rahiminejad, Alimardani, Vahidi, Hoseinian (bib0010) 2014; 22 Wang, XiaoPing, Bo (bib0015) 2012; 55 Omran (bib0125) 2008; 198 Zhang, Liu, Yang, Dai (bib0290) 2016; 11 Wu, Qian, Ni, Fan (bib0200) 2012; 64 Tri Trivedi, Gandomi, Jangir, Kumar, Jangir, Totlani (bib0320) 2017 Woo Geem, Hoon, Kim (bib0195) 2001; 76 Fadakar, Ebrahimi (bib0345) 2016 Fister, Yang, Fong, Zhuang (bib0070) 2014 Storn, Price (bib0295) 1997; 11 Geem, Kim, Loganathan (bib0050) 2001; 76 Yılmaz, E. Ugur, Cengiz (bib0095) 2014; 20 Yang, Gandomi (bib0260) 2012; 29 (bib0100) 2013; Vol. 2 Guo, Wang, Yue, Yang (bib0245) 2017; 21 Das, Suganthan (bib0340) 2011; 15 Shi, Eberhart (bib0060) 1999; 3 Pan, Dao, Kuo, Horng (bib0085) 2014; Vol. II Moosavian, Kasaee Roodsari (bib0180) 2014; 17 Chakri, Khelif, Benouaret, Yang (bib0280) 2017; 6 Rashedi, Hossein, Saeid (bib0045) 2009; 179 Parpinelli, Lopes (bib0135) 2011; 3 Gandomi, Yun, Yang (bib0150) 2013; 18 Li, Cui, Fu, Wen, Lu, Lu (bib0170) 2017; 52 Orvosh, Davis (bib0350) 1994 Liberti (bib0115) 2000 Kuo (10.1016/j.asoc.2018.07.033_bib0020) 2015; 316 Yassen (10.1016/j.asoc.2018.07.033_bib0220) 2015; 325 Moosavian (10.1016/j.asoc.2018.07.033_bib0030) 2015; 20 (10.1016/j.asoc.2018.07.033_bib0100) 2013; Vol. 2 Ramezani (10.1016/j.asoc.2018.07.033_bib0190) 2013; 13 Fister (10.1016/j.asoc.2018.07.033_bib0270) 2013; 80 Biswas (10.1016/j.asoc.2018.07.033_bib0145) 2013 Su (10.1016/j.asoc.2018.07.033_bib0110) 2003; 18 Liberti (10.1016/j.asoc.2018.07.033_bib0115) 2000 Jamil (10.1016/j.asoc.2018.07.033_bib0090) 2013; 4 Orvosh (10.1016/j.asoc.2018.07.033_bib0350) 1994 Karaboga (10.1016/j.asoc.2018.07.033_bib0160) 2007; 39 Muthiah-Nakarajan (10.1016/j.asoc.2018.07.033_bib0005) 2016; 38 Kavousi-Fard (10.1016/j.asoc.2018.07.033_bib0105) 2014; 41 Zhong (10.1016/j.asoc.2018.07.033_bib0165) 2016; 46 Gandomi (10.1016/j.asoc.2018.07.033_bib0255) 2013; 22 Omran (10.1016/j.asoc.2018.07.033_bib0125) 2008; 198 Yang (10.1016/j.asoc.2018.07.033_bib0285) 2010; 2 Saha (10.1016/j.asoc.2018.07.033_bib0310) 2017 Geem (10.1016/j.asoc.2018.07.033_bib0050) 2001; 76 Kattan (10.1016/j.asoc.2018.07.033_bib0235) 2013; 219 Rashedi (10.1016/j.asoc.2018.07.033_bib0045) 2009; 179 Mirjalili (10.1016/j.asoc.2018.07.033_bib0330) 2016; 95 Gomes (10.1016/j.asoc.2018.07.033_bib0130) 2009; 79 Moosavian (10.1016/j.asoc.2018.07.033_bib0180) 2014; 17 El-Abd (10.1016/j.asoc.2018.07.033_bib0240) 2013; 222 Gandomi (10.1016/j.asoc.2018.07.033_bib0150) 2013; 18 Shi (10.1016/j.asoc.2018.07.033_bib0060) 1999; 3 Ouyang (10.1016/j.asoc.2018.07.033_bib0225) 2015; 305 Yilmaz (10.1016/j.asoc.2018.07.033_bib0275) 2015; 28 Gandomi (10.1016/j.asoc.2018.07.033_bib0315) 2012; 17 Fister (10.1016/j.asoc.2018.07.033_bib0070) 2014 Zheng (10.1016/j.asoc.2018.07.033_bib0215) 2015; 19 Fadakar (10.1016/j.asoc.2018.07.033_bib0345) 2016 Yılmaz (10.1016/j.asoc.2018.07.033_bib0095) 2014; 20 Lee (10.1016/j.asoc.2018.07.033_bib0120) 2004; 82 Fonseca (10.1016/j.asoc.2018.07.033_bib0140) 1995; 3 Wang (10.1016/j.asoc.2018.07.033_bib0015) 2012; 55 Zhang (10.1016/j.asoc.2018.07.033_bib0290) 2016; 11 Xue (10.1016/j.asoc.2018.07.033_bib0175) 2017 Yang (10.1016/j.asoc.2018.07.033_bib0260) 2012; 29 Pan (10.1016/j.asoc.2018.07.033_bib0085) 2014; Vol. II Rahiminejad (10.1016/j.asoc.2018.07.033_bib0010) 2014; 22 Ouyang (10.1016/j.asoc.2018.07.033_bib0210) 2017; 53 Sarbazfard (10.1016/j.asoc.2018.07.033_bib0300) 2017; 8 Chakri (10.1016/j.asoc.2018.07.033_bib0280) 2017; 6 Tayarani-N (10.1016/j.asoc.2018.07.033_bib0055) 2008 Lee (10.1016/j.asoc.2018.07.033_bib0205) 2005; 194 Cheng (10.1016/j.asoc.2018.07.033_bib0025) 2014; 139 Topal (10.1016/j.asoc.2018.07.033_bib0080) 2016; 354 Li (10.1016/j.asoc.2018.07.033_bib0155) 2016; 41 Yang (10.1016/j.asoc.2018.07.033_bib0250) 2010 Storn (10.1016/j.asoc.2018.07.033_bib0295) 1997; 11 Guo (10.1016/j.asoc.2018.07.033_bib0245) 2017; 21 Wu (10.1016/j.asoc.2018.07.033_bib0200) 2012; 64 Wang (10.1016/j.asoc.2018.07.033_bib0075) 2013 Karaboga (10.1016/j.asoc.2018.07.033_bib0065) 2005; 3 Dai (10.1016/j.asoc.2018.07.033_bib0185) 2007 Pan (10.1016/j.asoc.2018.07.033_bib0040) 2012; 26 Li (10.1016/j.asoc.2018.07.033_bib0170) 2017; 52 Woo Geem (10.1016/j.asoc.2018.07.033_bib0195) 2001; 76 Yang (10.1016/j.asoc.2018.07.033_bib0035) 2010; Vol. XXVI Tri Trivedi (10.1016/j.asoc.2018.07.033_bib0320) 2017 Cheng (10.1016/j.asoc.2018.07.033_bib0305) 2014; 139 Doğan (10.1016/j.asoc.2018.07.033_bib0325) 2015; 293 James (10.1016/j.asoc.2018.07.033_bib0335) 2015; 30 Das (10.1016/j.asoc.2018.07.033_bib0340) 2011; 15 Parpinelli (10.1016/j.asoc.2018.07.033_bib0135) 2011; 3 Zou (10.1016/j.asoc.2018.07.033_bib0230) 2010; 58 Alam (10.1016/j.asoc.2018.07.033_bib0265) 2014; 100 |
| References_xml | – volume: 21 start-page: 2129 year: 2017 end-page: 2137 ident: bib0245 article-title: Global harmony search with generalized opposition-based learning publication-title: Soft comput. – volume: 39 start-page: 459 year: 2007 end-page: 471 ident: bib0160 article-title: A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm publication-title: J. Glob. Optim. – volume: 46 start-page: 469 year: 2016 end-page: 486 ident: bib0165 article-title: A modified ABC algorithm based on improved-global-best-guided approach and adaptive-limit strategy for global optimization publication-title: Appl. Soft Comput. – start-page: 1 year: 2013 end-page: 17 ident: bib0145 article-title: Physics-inspired optimization algorithms: a survey" publication-title: J. Optim. – volume: 30 start-page: 614 year: 2015 end-page: 627 ident: bib0335 article-title: A social spider algorithm for global optimization publication-title: Appl. Soft Comput. – volume: 22 start-page: 1239 year: 2013 end-page: 1255 ident: bib0255 article-title: Bat algorithm for constrained optimization tasks publication-title: Neural Comput. Appl. – volume: 76 start-page: 60 year: 2001 end-page: 68 ident: bib0195 article-title: Loganathan. A new heuristic optimization algorithm: harmony search publication-title: Int. Rev. Model. Simul. – volume: 20 start-page: 71 year: 2014 end-page: 78 ident: bib0095 article-title: Modified Bat Algorithm publication-title: Electron. Electr. Eng. – volume: 354 start-page: 222 year: 2016 end-page: 235 ident: bib0080 article-title: A novel meta-heuristic algorithm: dynamic virtual bats algorithm" publication-title: Inf. Sci. – start-page: 1 year: 2013 end-page: 21 ident: bib0075 article-title: A novel hybrid bat algorithm with harmony search for global numerical optimization publication-title: J. Appl. Math. – volume: 3 start-page: 1 year: 1995 end-page: 16 ident: bib0140 article-title: An Overview of Evolutionary Algorithms in Multi-objective Optimization publication-title: Evol. Comput. – volume: 8 start-page: 21 year: 2017 end-page: 38 ident: bib0300 article-title: A hybrid algorithm based on firefly algorithm and differential evolution for global optimization publication-title: J. Adv. Comput.Res. – volume: 100 start-page: 7 year: 2014 end-page: 13 ident: bib0265 article-title: Bat algorithm with self-adaptive mutation: a comparative study on numerical optimization problems publication-title: Int. J. Comput. Appl. – volume: 18 start-page: 327 year: 2013 end-page: 340 ident: bib0150 article-title: Chaos-enhanced Accelerated Particle Swarm Optimization publication-title: Commun. Nonlinear Sci. Numer. Simul. – volume: 64 start-page: 2621 year: 2012 end-page: 2634 ident: bib0200 article-title: Hybrid harmony search and artificial bee colony algorithm for global optimization problems publication-title: Comput. Math. Appl. – volume: 3 start-page: 1 year: 2011 end-page: 16 ident: bib0135 article-title: New Inspirations in Swarm Intelligence: A Survey publication-title: Int. J. Bio-inspired Comput. – volume: 219 start-page: 8542 year: 2013 end-page: 8567 ident: bib0235 article-title: A dynamic self-adaptive harmony search algorithm for continuous optimization problems publication-title: Appl. Math. Comput. – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: bib0295 article-title: Differential evolution-a simple and efcient heuristic for global optimization over continuous spaces publication-title: J. Glob. Optim. – start-page: 2659 year: 2008 end-page: 2664 ident: bib0055 article-title: Magnetic optimization algorithms a new synthesis" publication-title: Evol. Comput. – volume: 305 start-page: 14 year: 2015 end-page: 55 ident: bib0225 article-title: Improved novel global harmony search with a new relaxation method for reliability optimization problems publication-title: Inf. Sci. – start-page: 6 year: 2016 end-page: 11 ident: bib0345 article-title: A new metaheuristic football game inspired algorithm publication-title: 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC), 2016 – volume: Vol. 2 year: 2013 ident: bib0100 publication-title: HAndbook of Global Optimization – volume: Vol. II start-page: 45 year: 2014 end-page: 55 ident: bib0085 publication-title: Hybrid Bat Algorithm With Artificial Bee Colony", Intelligent Data Analysis and Its Applications – volume: 82 start-page: 781 year: 2004 end-page: 798 ident: bib0120 article-title: A new structural optimization method based on the harmony search algorithm publication-title: Comput. Struct. – start-page: 167 year: 2007 end-page: 176 ident: bib0185 article-title: Seeker optimization algorithm publication-title: Computational Intelligence and Security – start-page: 1 year: 2017 end-page: 18 ident: bib0175 article-title: A self-adaptive artificial bee colony algorithm based on global best for global optimization publication-title: Soft comput. – volume: 41 start-page: 6047 year: 2014 end-page: 6056 ident: bib0105 article-title: A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting publication-title: Expert Syst. Appl. – volume: 2 start-page: 78 year: 2010 end-page: 84 ident: bib0285 article-title: Firefly algorithm,stochastic test functions and design optimization publication-title: Int. J. Bio-inspired Comput. – volume: 29 start-page: 464 year: 2012 end-page: 483 ident: bib0260 article-title: Bat algorithm: a novel approach for global engineering optimization publication-title: Eng. Comput. (Swansea) – volume: 80 start-page: 1 year: 2013 end-page: 7 ident: bib0270 article-title: A hybrid bat algorithm publication-title: Elektroteh Niski Vestnik – start-page: 1 year: 2017 end-page: 20 ident: bib0310 article-title: A novel chaos-integrated symbiotic organisms search algorithm for global optimization publication-title: Soft comput. – volume: 3 start-page: 1945 year: 1999 end-page: 1950 ident: bib0060 article-title: Empirical study of particle swarm optimization publication-title: Evol. Comput. – volume: 41 start-page: 362 year: 2016 end-page: 372 ident: bib0155 article-title: Artificial bee colony algorithm with memory publication-title: Appl. Soft Comput. – volume: 139 start-page: 98 year: 2014 end-page: 112 ident: bib0025 article-title: Symbiotic organisms search: a new metaheuristic optimization algorithm publication-title: Comput. Struct. – volume: 293 start-page: 125 year: 2015 end-page: 145 ident: bib0325 article-title: A new metaheuristic for numerical function optimization: vortex Search algorithm" publication-title: Inf. Sci. – year: 2000 ident: bib0115 article-title: Introduction to Global Optimization.",Ecole Polytechnique – volume: 316 start-page: 246 year: 2015 end-page: 265 ident: bib0020 article-title: The gradient evolution algorithm: a new metaheuristic publication-title: Inf. Sci. – volume: 26 start-page: 69 year: 2012 end-page: 74 ident: bib0040 article-title: A new fruit fly optimization algorithm: taking the financial distress model" publication-title: Knowl. Based Syst – volume: 52 start-page: 146 year: 2017 end-page: 159 ident: bib0170 article-title: Artificial bee colony algorithm with gene recombination for numerical function optimization publication-title: Appl. Soft Comput. – volume: 222 start-page: 94 year: 2013 end-page: 106 ident: bib0240 article-title: An improved global-best harmony search algorithm publication-title: Appl. Math. Comput. – volume: 6 start-page: 159 year: 2017 end-page: 175 ident: bib0280 article-title: New directional bat algorithm for continuous optimization problems publication-title: Expert Syst. Appl. – start-page: 517 year: 2017 end-page: 525 ident: bib0320 article-title: adaptive krill herd algorithm for global numerical optimization publication-title: Adv. Comput. Computat. Sci. – volume: 55 start-page: 2369 year: 2012 end-page: 2389 ident: bib0015 article-title: Lion pride optimizer: an optimization algorithm inspired by lion pride behavior publication-title: Sci. China Inf. Sci. – volume: 198 start-page: 643 year: 2008 end-page: 656 ident: bib0125 article-title: Mahdavi M"Global-best Harmony Search publication-title: Appl. Math. Comput. – volume: 194 start-page: 3902 year: 2005 end-page: 3933 ident: bib0205 article-title: A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice publication-title: Comput. Methods Appl. Mech. Eng. – start-page: 163 year: 2014 end-page: 167 ident: bib0070 article-title: Bat algorithm: recent advances publication-title: Computat. Intell. Inf. – volume: 76 start-page: 60 year: 2001 end-page: 68 ident: bib0050 article-title: A new heuristic optimization algorithm: Harmony search publication-title: Simulation – volume: 3 start-page: 1 year: 2005 end-page: 10 ident: bib0065 publication-title: An Idea Based on Honey Bee Swarm for Numerical Optimization – volume: 4 start-page: 150 year: 2013 end-page: 194 ident: bib0090 article-title: A literature survey of benchmark functions for global optimization problems publication-title: Int. J. Math. Model. Numer. Optim. – volume: 38 start-page: 771 year: 2016 end-page: 787 ident: bib0005 article-title: Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion" publication-title: Appl. Soft Comput. – volume: 19 start-page: 1567 year: 2015 end-page: 1579 ident: bib0215 article-title: Self-adjusting harmony search-based feature selection publication-title: Soft comput. – volume: 179 start-page: 2232 year: 2009 end-page: 2248 ident: bib0045 article-title: GSA: a gravitational search algorithm publication-title: Inf. Sci. – volume: 53 start-page: 133 year: 2017 end-page: 167 ident: bib0210 article-title: Improved Harmony Search Algorithm: LHS publication-title: Appl. Soft Comput. – volume: 58 start-page: 307 year: 2010 end-page: 331 ident: bib0230 article-title: A novel global harmony search algorithm for reliability problems publication-title: Comput. Ind. Eng. – volume: 17 start-page: 4831 year: 2012 end-page: 4845 ident: bib0315 article-title: Krill herd: A new bio-inspired optimization algorithm publication-title: Commun. Nonlinear Sci. Numer. Simul. – volume: 11 start-page: 1 year: 2016 end-page: 17 ident: bib0290 article-title: A novel hybrid firefly algorithm for global optimization publication-title: PLoS One – volume: 79 start-page: 959 year: 2009 end-page: 972 ident: bib0130 article-title: A market based active/reactive dispatch including transformer taps and reactor and capacitor banks using simulated annealing publication-title: Electr. Power Syst. Res. – volume: 28 start-page: 259 year: 2015 end-page: 275 ident: bib0275 article-title: A new modification approach on bat algorithm for solving optimization problems publication-title: Appl. Soft Comput. – volume: 18 start-page: 1022 year: 2003 end-page: 1027 ident: bib0110 article-title: Network reconfiguration of distribution systems using improved mixed-integer hybrid differential evolution" publication-title: IEEE Trans. Power Deliv. – volume: 22 start-page: 874 year: 2014 end-page: 892 ident: bib0010 article-title: Shuffled frog leaping algorithm optimization for AC-DC optimal power flow dispatch publication-title: Turk. J. Electr. Eng. Comput. Sci. – volume: 325 start-page: 140 year: 2015 end-page: 158 ident: bib0220 article-title: Meta-harmony search algorithm for the vehicle routing problem with time windows publication-title: Inf. Sci. – volume: 95 start-page: 51 year: 2016 end-page: 67 ident: bib0330 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. – start-page: 65 year: 2010 end-page: 74 ident: bib0250 article-title: A new metaheuristic bat-inspired algorithm publication-title: Nat. Inspired Cooperative Strategies Optim. – volume: 17 start-page: 14 year: 2014 end-page: 24 ident: bib0180 article-title: Soccer league competition algorithm: a novel meta-heuristic algorithm for optimal design of water distribution networks publication-title: Swarm Evol. Comput. – volume: 15 start-page: 4 year: 2011 end-page: 31 ident: bib0340 article-title: Differential evolution: a survey of the state-of-the-art publication-title: IEEE Trans. Evol. Computat. – volume: 13 start-page: 2837 year: 2013 end-page: 2856 ident: bib0190 article-title: Social-based algorithm (SBA) publication-title: Appl. Soft Comput. – volume: 20 start-page: 14 year: 2015 end-page: 22 ident: bib0030 article-title: Soccer League competition algorithm for solving knapsack problems publication-title: Swarm Evol. Comput. – start-page: 548 year: 1994 end-page: 553 ident: bib0350 article-title: Using a genetic algorithm to optimize problems with feasibility constraints publication-title: Proceedings of the First IEEE Conference on Evolutionary Computation, 1994 – volume: Vol. XXVI start-page: 209 year: 2010 end-page: 218 ident: bib0035 article-title: Firefly algorithm, levy flights and global optimization publication-title: Research and Development in Intelligent Systems – volume: 139 start-page: 98 year: 2014 end-page: 112 ident: bib0305 article-title: Symbiotic Organism Search: A new metaheuristic optimization algorithm publication-title: Comput. Struct. – volume: 316 start-page: 246 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0020 article-title: The gradient evolution algorithm: a new metaheuristic publication-title: Inf. Sci. doi: 10.1016/j.ins.2015.04.031 – volume: 76 start-page: 60 year: 2001 ident: 10.1016/j.asoc.2018.07.033_bib0195 article-title: Loganathan. A new heuristic optimization algorithm: harmony search publication-title: Int. Rev. Model. Simul. – volume: 139 start-page: 98 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0305 article-title: Symbiotic Organism Search: A new metaheuristic optimization algorithm publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2014.03.007 – volume: 3 start-page: 1 year: 1995 ident: 10.1016/j.asoc.2018.07.033_bib0140 article-title: An Overview of Evolutionary Algorithms in Multi-objective Optimization publication-title: Evol. Comput. doi: 10.1162/evco.1995.3.1.1 – volume: 2 start-page: 78 issue: 2 year: 2010 ident: 10.1016/j.asoc.2018.07.033_bib0285 article-title: Firefly algorithm,stochastic test functions and design optimization publication-title: Int. J. Bio-inspired Comput. doi: 10.1504/IJBIC.2010.032124 – volume: Vol. XXVI start-page: 209 year: 2010 ident: 10.1016/j.asoc.2018.07.033_bib0035 article-title: Firefly algorithm, levy flights and global optimization – volume: 11 start-page: 1 issue: 9 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0290 article-title: A novel hybrid firefly algorithm for global optimization publication-title: PLoS One doi: 10.1371/journal.pone.0163230 – start-page: 167 year: 2007 ident: 10.1016/j.asoc.2018.07.033_bib0185 article-title: Seeker optimization algorithm – start-page: 6 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0345 article-title: A new metaheuristic football game inspired algorithm – volume: 3 start-page: 1 year: 2005 ident: 10.1016/j.asoc.2018.07.033_bib0065 – volume: 219 start-page: 8542 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0235 article-title: A dynamic self-adaptive harmony search algorithm for continuous optimization problems publication-title: Appl. Math. Comput. – volume: 8 start-page: 21 issue: 2 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0300 article-title: A hybrid algorithm based on firefly algorithm and differential evolution for global optimization publication-title: J. Adv. Comput.Res. – volume: 20 start-page: 14 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0030 article-title: Soccer League competition algorithm for solving knapsack problems publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2014.10.002 – start-page: 517 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0320 article-title: adaptive krill herd algorithm for global numerical optimization publication-title: Adv. Comput. Computat. Sci. doi: 10.1007/978-981-10-3770-2_48 – volume: 41 start-page: 362 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0155 article-title: Artificial bee colony algorithm with memory publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2015.12.046 – volume: 305 start-page: 14 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0225 article-title: Improved novel global harmony search with a new relaxation method for reliability optimization problems publication-title: Inf. Sci. doi: 10.1016/j.ins.2015.01.020 – volume: 76 start-page: 60 year: 2001 ident: 10.1016/j.asoc.2018.07.033_bib0050 article-title: A new heuristic optimization algorithm: Harmony search publication-title: Simulation doi: 10.1177/003754970107600201 – volume: 22 start-page: 874 issue: 4 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0010 article-title: Shuffled frog leaping algorithm optimization for AC-DC optimal power flow dispatch publication-title: Turk. J. Electr. Eng. Comput. Sci. doi: 10.3906/elk-1205-80 – volume: 82 start-page: 781 issue: 9 year: 2004 ident: 10.1016/j.asoc.2018.07.033_bib0120 article-title: A new structural optimization method based on the harmony search algorithm publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2004.01.002 – volume: 58 start-page: 307 issue: 2 year: 2010 ident: 10.1016/j.asoc.2018.07.033_bib0230 article-title: A novel global harmony search algorithm for reliability problems publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2009.11.003 – volume: 30 start-page: 614 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0335 article-title: A social spider algorithm for global optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2015.02.014 – volume: 55 start-page: 2369 issue: 10 year: 2012 ident: 10.1016/j.asoc.2018.07.033_bib0015 article-title: Lion pride optimizer: an optimization algorithm inspired by lion pride behavior publication-title: Sci. China Inf. Sci. doi: 10.1007/s11432-012-4548-0 – volume: 19 start-page: 1567 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0215 article-title: Self-adjusting harmony search-based feature selection publication-title: Soft comput. doi: 10.1007/s00500-014-1307-8 – volume: 15 start-page: 4 issue: 1 year: 2011 ident: 10.1016/j.asoc.2018.07.033_bib0340 article-title: Differential evolution: a survey of the state-of-the-art publication-title: IEEE Trans. Evol. Computat. doi: 10.1109/TEVC.2010.2059031 – volume: 39 start-page: 459 issue: 3 year: 2007 ident: 10.1016/j.asoc.2018.07.033_bib0160 article-title: A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm publication-title: J. Glob. Optim. doi: 10.1007/s10898-007-9149-x – volume: 28 start-page: 259 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0275 article-title: A new modification approach on bat algorithm for solving optimization problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.11.029 – volume: 194 start-page: 3902 issue: 36 year: 2005 ident: 10.1016/j.asoc.2018.07.033_bib0205 article-title: A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice publication-title: Comput. Methods Appl. Mech. Eng. doi: 10.1016/j.cma.2004.09.007 – start-page: 1 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0075 article-title: A novel hybrid bat algorithm with harmony search for global numerical optimization publication-title: J. Appl. Math. – volume: 64 start-page: 2621 year: 2012 ident: 10.1016/j.asoc.2018.07.033_bib0200 article-title: Hybrid harmony search and artificial bee colony algorithm for global optimization problems publication-title: Comput. Math. Appl. doi: 10.1016/j.camwa.2012.06.026 – volume: 139 start-page: 98 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0025 article-title: Symbiotic organisms search: a new metaheuristic optimization algorithm publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2014.03.007 – volume: 4 start-page: 150 issue: 2 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0090 article-title: A literature survey of benchmark functions for global optimization problems publication-title: Int. J. Math. Model. Numer. Optim. – volume: 26 start-page: 69 year: 2012 ident: 10.1016/j.asoc.2018.07.033_bib0040 article-title: A new fruit fly optimization algorithm: taking the financial distress model" publication-title: Knowl. Based Syst doi: 10.1016/j.knosys.2011.07.001 – start-page: 1 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0310 article-title: A novel chaos-integrated symbiotic organisms search algorithm for global optimization publication-title: Soft comput. – start-page: 2659 year: 2008 ident: 10.1016/j.asoc.2018.07.033_bib0055 article-title: Magnetic optimization algorithms a new synthesis" publication-title: Evol. Comput. – volume: 18 start-page: 327 issue: 2 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0150 article-title: Chaos-enhanced Accelerated Particle Swarm Optimization publication-title: Commun. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2012.07.017 – volume: 13 start-page: 2837 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0190 article-title: Social-based algorithm (SBA) publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2012.05.018 – volume: 20 start-page: 71 issue: 2 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0095 article-title: Modified Bat Algorithm publication-title: Electron. Electr. Eng. – volume: 222 start-page: 94 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0240 article-title: An improved global-best harmony search algorithm publication-title: Appl. Math. Comput. – volume: 22 start-page: 1239 issue: 6 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0255 article-title: Bat algorithm for constrained optimization tasks publication-title: Neural Comput. Appl. doi: 10.1007/s00521-012-1028-9 – volume: 6 start-page: 159 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0280 article-title: New directional bat algorithm for continuous optimization problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2016.10.050 – start-page: 1 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0145 article-title: Physics-inspired optimization algorithms: a survey" publication-title: J. Optim. – volume: 17 start-page: 14 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0180 article-title: Soccer league competition algorithm: a novel meta-heuristic algorithm for optimal design of water distribution networks publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2014.02.002 – start-page: 163 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0070 article-title: Bat algorithm: recent advances publication-title: Computat. Intell. Inf. – start-page: 1 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0175 article-title: A self-adaptive artificial bee colony algorithm based on global best for global optimization publication-title: Soft comput. – volume: 293 start-page: 125 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0325 article-title: A new metaheuristic for numerical function optimization: vortex Search algorithm" publication-title: Inf. Sci. doi: 10.1016/j.ins.2014.08.053 – volume: 3 start-page: 1945 year: 1999 ident: 10.1016/j.asoc.2018.07.033_bib0060 article-title: Empirical study of particle swarm optimization publication-title: Evol. Comput. – year: 2000 ident: 10.1016/j.asoc.2018.07.033_bib0115 – volume: Vol. II start-page: 45 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0085 – volume: Vol. 2 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0100 – volume: 29 start-page: 464 issue: 5 year: 2012 ident: 10.1016/j.asoc.2018.07.033_bib0260 article-title: Bat algorithm: a novel approach for global engineering optimization publication-title: Eng. Comput. (Swansea) doi: 10.1108/02644401211235834 – volume: 38 start-page: 771 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0005 article-title: Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion" publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2015.10.034 – start-page: 65 year: 2010 ident: 10.1016/j.asoc.2018.07.033_bib0250 article-title: A new metaheuristic bat-inspired algorithm publication-title: Nat. Inspired Cooperative Strategies Optim. – volume: 354 start-page: 222 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0080 article-title: A novel meta-heuristic algorithm: dynamic virtual bats algorithm" publication-title: Inf. Sci. doi: 10.1016/j.ins.2016.03.025 – volume: 46 start-page: 469 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0165 article-title: A modified ABC algorithm based on improved-global-best-guided approach and adaptive-limit strategy for global optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.05.007 – volume: 325 start-page: 140 year: 2015 ident: 10.1016/j.asoc.2018.07.033_bib0220 article-title: Meta-harmony search algorithm for the vehicle routing problem with time windows publication-title: Inf. Sci. doi: 10.1016/j.ins.2015.07.009 – start-page: 548 year: 1994 ident: 10.1016/j.asoc.2018.07.033_bib0350 article-title: Using a genetic algorithm to optimize problems with feasibility constraints – volume: 21 start-page: 2129 issue: 8 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0245 article-title: Global harmony search with generalized opposition-based learning publication-title: Soft comput. doi: 10.1007/s00500-015-1912-1 – volume: 95 start-page: 51 year: 2016 ident: 10.1016/j.asoc.2018.07.033_bib0330 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – volume: 179 start-page: 2232 issue: 13 year: 2009 ident: 10.1016/j.asoc.2018.07.033_bib0045 article-title: GSA: a gravitational search algorithm publication-title: Inf. Sci. doi: 10.1016/j.ins.2009.03.004 – volume: 80 start-page: 1 issue: 1 year: 2013 ident: 10.1016/j.asoc.2018.07.033_bib0270 article-title: A hybrid bat algorithm publication-title: Elektroteh Niski Vestnik – volume: 41 start-page: 6047 issue: 13 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0105 article-title: A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2014.03.053 – volume: 53 start-page: 133 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0210 article-title: Improved Harmony Search Algorithm: LHS publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.12.042 – volume: 198 start-page: 643 issue: 2 year: 2008 ident: 10.1016/j.asoc.2018.07.033_bib0125 article-title: Mahdavi M"Global-best Harmony Search publication-title: Appl. Math. Comput. – volume: 79 start-page: 959 issue: 6 year: 2009 ident: 10.1016/j.asoc.2018.07.033_bib0130 article-title: A market based active/reactive dispatch including transformer taps and reactor and capacitor banks using simulated annealing publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2008.12.014 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10.1016/j.asoc.2018.07.033_bib0295 article-title: Differential evolution-a simple and efcient heuristic for global optimization over continuous spaces publication-title: J. Glob. Optim. doi: 10.1023/A:1008202821328 – volume: 17 start-page: 4831 issue: 12 year: 2012 ident: 10.1016/j.asoc.2018.07.033_bib0315 article-title: Krill herd: A new bio-inspired optimization algorithm publication-title: Commun. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2012.05.010 – volume: 3 start-page: 1 year: 2011 ident: 10.1016/j.asoc.2018.07.033_bib0135 article-title: New Inspirations in Swarm Intelligence: A Survey publication-title: Int. J. Bio-inspired Comput. doi: 10.1504/IJBIC.2011.038700 – volume: 52 start-page: 146 year: 2017 ident: 10.1016/j.asoc.2018.07.033_bib0170 article-title: Artificial bee colony algorithm with gene recombination for numerical function optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.12.017 – volume: 100 start-page: 7 issue: 10 year: 2014 ident: 10.1016/j.asoc.2018.07.033_bib0265 article-title: Bat algorithm with self-adaptive mutation: a comparative study on numerical optimization problems publication-title: Int. J. Comput. Appl. – volume: 18 start-page: 1022 issue: 3 year: 2003 ident: 10.1016/j.asoc.2018.07.033_bib0110 article-title: Network reconfiguration of distribution systems using improved mixed-integer hybrid differential evolution" publication-title: IEEE Trans. Power Deliv. doi: 10.1109/TPWRD.2003.813641 |
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| Title | Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems |
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