222
Views
25
CrossRef citations to date
0
Altmetric
Original Articles

Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design

, , &
Pages 570-588 | Received 20 Jul 2016, Accepted 26 Sep 2016, Published online: 03 Nov 2016

References

  • Yang XS , Deb S . Cuckoo search via Lévy flights. In: World Congress on Nature & Biologically Inspired Computing. Coimbatore: NaBIC. 2009 Dec 9–11; p. 210–214.10.1109/NABIC.2009.5393690
  • Mirjalili S , Mirjalili SM , A Lewis . Grey wolf optimizer. Adv Eng Software. 2014;69:46–61. ISSN: .
  • Karaboga D , Akay B . A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems. Applied Soft Computing. 2011;11:3021–3031.
  • Fister I , Fister I Jr , Yang XS , et al . A comprehensive review of firefly algorithms. Swarm Evol Comput. 2013;13:34–46.10.1016/j.swevo.2013.06.001
  • Dorigo M , Gambardella LM . Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput. 1997;1:53–66.10.1109/4235.585892
  • Mitchell M . An introduction to genetic algorithms. London,UK: MIT press; 1996. ISBN: 0−262−13316−4 (HB), 0−262−63185−7 (PB).
  • Qin AK , Huang VL , Suganthan PN . Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evol Comput. 2009;13:398–417.10.1109/TEVC.2008.927706
  • Storn R , Price K . Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim. 1997;11:341–359.10.1023/A:1008202821328
  • Kulkarni AJ , Durugkar IP , Kumar M . Cohort intelligence: a self-supervised learning behavior. In: Proceedings of the IEEE international conference on systems, man, and cybernetics, p. 1396–1400, 2013, Manchester, UK.
  • Krishnasamy G , Kulkarni AJ , Paramesran R . A hybrid approach for data clustering based on modified cohort intelligence and K-means. Expert Sys Appl. 2014;41:6009–6016.10.1016/j.eswa.2014.03.021
  • Kulkarni AJ , Baki MF , Chaouch BA . Application of the cohort-intelligence optimization method to three selected combinatorial optimization problems. Eur J Oper Res. 2016;250:427–447.10.1016/j.ejor.2015.10.008
  • Kulkarni AJ , Hinna Shabir . Solving 0–1 Knapsack problem using cohort intelligence algorithm. Int J Mach Learn Cybern. 2016;7:427–441.10.1007/s13042-014-0272-y
  • Kulkarni AJ , Krishnasamy G , Abraham A . Cohort intelligence: a socio-inspired optimization method. Intelligent systems reference library. Vol. 114, Springer; 2017. 10.1007/978-3-319-44254-9. ISBN: 978-3-319-44254-9. 10.1007/978-3-319-44254-9
  • Arora J . Introduction to optimum design. San Diego, CA: Academic Press; 2004. ISBN: 0-12-064155-0.
  • Homaifar A , Lai SHY , Qi X . Constrained optimization via genetic algorithms. Simulation. 1994;62:242–253.10.1177/003754979406200405
  • Joines J , Houck C . On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with Gas. In: Fogel D , editor. Proceedings of the first IEEE conference on evolutionary computation. Orlando (FL): IEEE Press; 1994. p. 579–584.
  • Michalewicz Z , Attia NF . Evolutionary optimization of constrained problems. In: Proceedings of the 3rd annual conference on evolutionary programming; Singapore: World Scientific, 1994. p. 98–108.
  • Powell D , Skolnick MM . Using genetic algorithms in engineering design optimization with non-linear constraints. In: Forrest S , editor. Proceedings of the fifth international conference on genetic algorithms. San Mateo (CA): University of Illinois at Urbana-Champaign, Morgan Kaufmann; July 1993. p. 424–431.
  • Huyer W , Neumaier A . A new exact penalty function. SIAM J Optim. 2003;13:1141–1158.10.1137/S1052623401390537
  • Ma C , Zhang LS . On an exact penalty function method for nonlinear mixed discrete programming problems and its applications in search engine advertising problems. Appl Math Comput. 2015;271:642–656.
  • Lucidi S , Rinaldi F . Exact penalty functions for nonlinear integer programming problems. J Optim Theory Appl. 2010;145:479–488.10.1007/s10957-010-9700-7
  • Ma C , Li X . On an exact penalty function method for semi-infinite programming problems. J Ind Manage Optim. 2012;8:19–40.
  • Mezura-Montes E , CAC Coello . Constraint-handling in nature-inspired numerical optimization: past, present and future. Swarm Evol Comput. 2011;1:173–194.10.1016/j.swevo.2011.10.001
  • Liang JJ , Runarsson TP , Mezura-Montes E , et al . Problem definitions and evaluation criteria. In: Special session on constrained real-parameter optimization; 2006 Sep 18.
  • Mezura-Montes E , Lopez-Ramırez BC . Comparing bio-inspired algorithms in constrained optimization problems. J Evol Comput. 2007;662–669, 25–28, 10.1109/CEC.2007.4424534.
  • Mezura-Montes E , Coello CAC . A simple multimembered evolution strategy to solve constrained optimization problems. IEEE Trans Evol Comput. 2005;9:1–17.10.1109/TEVC.2004.836819
  • Zavala AEM , Aguirre AH , Diharce ERV , Constrained optimization via particle evolutionary swarm optimization algorithm (PESO). In: Proceedings of the 2005 conference on genetic and evolutionary computation (GECCO’05); 2005, New York, USA. p. 209–216.10.1145/1068009
  • Liu J , Teo, KL , Xiangyu W , et al . An exact penalty function-based differential search algorithm for constrained global optimization. J Soft Comput. 2015;20:1305–1313. 10.1007/s00500-015-1588-6.
  • Kakandikar GM . Some studies on optimization of sheet metal forming processes [PhD. thesis]. Nanded: Shri Guru Gobind Singhji Institute of Engineering and Technology; 2014.
  • Deshpande, AM , Phatnani, GM , Kulkarni, AJ . Constraint handling in firefly algorithm. In: Proceedings of IEEE international conference on cybernetics; 2013 Jun 13–15; Lausanne, Switzerland. p. 186–190.
  • Kulkarni AJ , Tai K . Solving constrained optimization problems using probability collectives and a penalty function approach. Int J Comput Intell Appl. 2011;10:445–470.10.1142/S1469026811003185

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.