2,058
Views
142
CrossRef citations to date
0
Altmetric
Original Articles

A new optimization algorithm for solving complex constrained design optimization problems

&
Pages 60-83 | Received 30 Nov 2015, Accepted 25 Feb 2016, Published online: 13 Apr 2016

References

  • Ahrari, A., and A. A. Atai. 2010. “Grenade Explosion Method—A Novel Tool for Optimization of Multimodal Functions.” Applied Soft Computing 10 (4): 1132–1140. doi: 10.1016/j.asoc.2009.11.032
  • Akay, B., and D. Karaboga. 2010. “Artificial Bee Colony Algorithm for Large-Scale Problems and Engineering Design Optimization.” Journal of Intelligent Manufacturing. doi:10.1007/s10845-010-0393-4.
  • Becerra, R. L., and C. A. C. Coello. 2006. “Cultured Differential Evolution for Constrained Optimization.” Computer Methods in Applied Mechanics and Engineering 195: 4303–4322. doi: 10.1016/j.cma.2005.09.006
  • Blum, C. 2005. “Ant Colony Optimization: Introduction and Recent Trends.” Physics of Life Reviews 2: 353–373. doi: 10.1016/j.plrev.2005.10.001
  • Brajevic, I., and Tuba, M. 2013. “An Upgraded Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Problems.” Journal of Intelligent Manufacturing 24: 729–740. doi: 10.1007/s10845-011-0621-6
  • Clerc, M. 2006. Particle Swarm Optimization. London: ISTE Publishing Company.
  • Deb, K. 2000. “An Efficient Constraint Handling Method for Genetic Algorithm.” Computer Methods in Applied Mechanics and Engineering 186: 311–338. doi: 10.1016/S0045-7825(99)00389-8
  • Dorigo, M., and T. Stutzle. 2004. Ant Colony Optimization. Cambridge, MA: MIT Press.
  • Goldberg, D. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. New York: Addison-Wesley.
  • He, Q., and L. Wang. 2007. “An Effective Co-evolutionary Particle Swarm Optimization for Constrained Engineering Design Problems.” Engineering Applications of Artificial Intelligence 20: 89–99. doi: 10.1016/j.engappai.2006.03.003
  • Huang, F. Z., L. Wang, and Q. He. 2007. “An Effective Co-evolutionary Differential Evolution for Constrained Optimization.” Applied Mathematics and Computation 186: 340–356. doi: 10.1016/j.amc.2006.07.105
  • Karaboga, D. 2005. “An Idea Based on Honey Bee Swarm for Numerical Optimization”. Technical Report-TR06. Erciyes University, Engineering Faculty, Computer Engineering Department, Kayseri, Turkey.
  • Karaboga, D., and B. Basturk. 2007. “Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems.” In LNAI (IFSA), edited by P. Melin, Vol. 4529, 789–798. Berlin: Springer.
  • Kennedy, V., and R. Eberhart. 1995. “Particle Swarm Optimization.” In Proceedings of the IEEE International Conference on Neural Networks, 1942–1948.
  • Lee, K. S., and Z. W. Geem. 2004. “A New Meta-heuristic Algorithm for Continuous Engineering Optimization: Harmony Search Theory and Practice.” Computer Methods in Applied Mechanics and Engineering 194: 3902–3933. doi: 10.1016/j.cma.2004.09.007
  • Liao, T. W. 2010. “Two Hybrid Differential Evolution Algorithms for Engineering Design Optimization.” Applied Soft Computing 10: 1188–1199. doi: 10.1016/j.asoc.2010.05.007
  • Lin, M.-H., J.-F. Tsai, and C.-S. Yu. 2012. “A Review of Deterministic Optimization Methods in Engineering and Management.” Mathematical Problems in Engineering 2012. doi:10.1155/2012/756023.
  • Liu, H., Z. Cai, and Y. Wang. 2010. “Hybridizing Particle Swarm Optimization with Differential Evolution for Constrained Numerical and Engineering Optimization.” Applied Soft Computing 10: 629–640. doi: 10.1016/j.asoc.2009.08.031
  • Mezura-Montes, E., and C. A. C. Coello. 2005. “Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms.” In LNAI (MICAI2005), edited by A. Gelbukh, Vol. 3789, 652–662. Berlin: Springer.
  • Parsopoulos, K. E., and M. N. Vrahatis. 2005. “Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems.” In LNCS (ICNC), edited by L. Wang, Vol. 3612, 582–591. Berlin: Springer.
  • Pavone, M., G. Narzisi, and G. Nicosia. 2012. “Clonal Selection: An Immunological Algorithm for Global Optimization over Continuous Spaces.” Journal of Global Optimization 53 (4): 769–808. doi: 10.1007/s10898-011-9736-8
  • Rao, R. V. 2016. “Jaya: A Simple and New Optimization Algorithm for Solving Constrained and Unconstrained Optimization Problems.” International Journal of Industrial Engineering Computations 7: 19–34.
  • Rao, R. V., V. J. Savsani, and D. P. Vakharia. 2011. “Teaching-Learning-Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems.” Computer-Aided Design 43 (3): 303–315. doi: 10.1016/j.cad.2010.12.015
  • Rao, R. V., and G. G. Waghmare. 2014. “Complex Constrained Design Optimization Using an Elitist Teaching-Learning-Based Optimization Algorithm.” International Journal of Metaheuristics 3 (1): 81–102. doi: 10.1504/IJMHEUR.2014.058863
  • Rios, L. M., and N. V. Sahinidis. 2013. “Derivative-Free Optimization: A Review of Algorithms and Comparison of Software Implementations.” Journal of Global Optimization 56 (3): 1247–1293. doi: 10.1007/s10898-012-9951-y
  • Sadollah, A., A. Bahreininejad, H. Eskandar, and M. Hamdi. 2013. “Mine Blast Algorithm: A New Population Based Algorithm for Solving Constrained Engineering Optimization Problems.” Applied Soft Computing 13 (5): 2592–2612. doi: 10.1016/j.asoc.2012.11.026
  • Zavala, A. E. M., A. H. Aguirre, and E. R. V. Diharce. 2005. “Constrained Optimization via Evolutionary Particle Swarm Optimization Algorithm (PESO).” In Proc. GECCO, 209–216.
  • Zhang, G., J. Cheng, M. Gheorghe, and Q. Meng. 2013. “A Hybrid Approach Based on Differential Evolution and Tissue Membrane Systems for Solving Constrained Manufacturing Parameter Optimization Problems.” Applied Soft Computing 13 (3): 1528–1542. doi:10.1016/j.asoc.2012.05.032.

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.