References
- Akhtar, S.; Tai, K.; Ray, T. 2002. A socio-behavioural simulation model for engineering design optimization, Engineering Optimization 34(4): 341–354. http://dx.doi.org/10.1080/03052150212723
- Azarm, S.; Li, W. C. 1989. Multi-Level design optimization using global monotonicity analysis, Journal of Mechanical Design ASME 111(2): 259–263.
- Deb, K.; Goyal, M. 1997. Optimizing engineering designs using a combined genetic search, in 7th International Conference on Genetic Algorithms, 19–23 July 1997, East Lansing, MI, USA, 512–528.
- Efren, M.; Coello, C. A. C.; Ricardo, L. 2003. Engineering optimization using a simple evolutionary algorithm, in 15th IEEE International Conference on Tools with Artificial Intelligence – ICTAI'2003, CA, USA, 3–5 November 2003, 149–156.
- Fu, J. F.; Fenton, R. G.; Cleghorn, W. L. 1991. A mixed inegerdiscrete-continuous programming method and its application to engineering design optimization, Engineering Optimization 17(4): 263–280. http://dx.doi.org/10.1080/03052159108941075
- Gandomi, A. H.; Alavi, A. H. 2012. Krill Herd: a new bio-inspired optimization algorithm, Communications in Nonlinear Science and Numerical Simulation 17(12): 4831–4845. http://dx.doi.org/10.1016/j.cnsns.2012.05.010
- Gandomi, A. H.; Yang, X. S.; Alavi, A. H. 2011a. Mixed variable structural optimization using firefly algorithm, Computers and Structures 89(23–24): 2325–2336. http://dx.doi.org/10.1016/j.compstruc.2011.08.002
- Gandomi, A. H.; Yang, X. S.; Alavi, A. H. 2013b. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems, Engineering with Computers 29(1): 17–35. http://dx.doi.org/10.1007/s00366-011-0241-y
- Gandomi, A. H.; Yang, X.-S.; Talatahari, S.; Alavi, A. H. 2013a. Metaheuristic applications in structures and infrastructures. Elsevier: Waltham, MA.
- Gandomi, A. H.; Alavi, A. H.; Talatahari, S. 2013c. Structural optimization using Krill Herd algorithm, in Yang, X. S. et al. (Eds). Swarm intelligence and bio-inspired computation: theory and applications. Elsevier, 335–349. http://dx.doi.org/10.1016/B978-0-12-405163-8.00015-6
- Gandomi, A. H.; Talatahari, S.; Tadbiri, F.; Alavi, A. H. 2013d. Krill Herd algorithm for optimum design of truss structures, International Journal of Bio-Inspired Computation 5(5): 281–288. http://dx.doi.org/10.1504/IJBIC.2013.057191
- Gandomi, A. H.; Yang, X. S. 2011b. Benchmark problems in structural optimization, in Koziel, S.; Yang, X. S. (Eds). Computational optimization, methods and algorithms. Berlin: Springer-Verlag, 267–291. http://dx.doi.org/10.1007/978-3-642-20859-1_12
- Gandomi, A. H.; Yang, X. S.; Talatahari, S.; Deb, S. 2012. Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization, Computers and Mathematics with Applications 63(1): 191–200. http://dx.doi.org/10.1016/j.camwa.2011.11.010
- Guo, C. X.; Hu, J. S.; Ye, B.; Cao, Y. J. 2004. Swarm intelligence for mixed-variable design optimization, Journal of Zhejiang University Science 5(7): 851–860. http://dx.doi.org/10.1631/jzus.2004.0851
- Hadj-Alouane, A. B.; Bean, J. C. 1997. A genetic algorithm for the multiple-choice integer program, Operations Research 45(1): 92–101. http://dx.doi.org/10.1287/opre.45.1.92
- Hofmann, E. E.; Haskell, A. G. E.; Klinck, J. M.; Lascara, C. M. 2004. Lagrangian modelling studies of Antarctic krill (Euphasiasuperba) swarm formation, ICES Journal of Marine Science 61(4): 617–631. http://dx.doi.org/10.1016/j.icesjms.2004.03.028
- Hsu, Y.-L.; Liu, T.-C. 2007. Developing a fuzzy proportional derivative controller optimization engine for engineering design optimization problems, Engineering Optimization 39(6): 679–700. http://dx.doi.org/10.1080/03052150701252664
- Kuang, J. K.; Rao, S. S.; Chen, L. 1998. Taguchi-aided search method for design optimization of engineering systems, Engineering Optmizations 30(1): 1–23. http://dx.doi.org/10.1080/03052159808941235
- Li, H. L.; Papalambros, P. 1985. A production system for use of global optimization knowledge, Journal of Mechanical Design ASME 107: 277–284.
- Montes, E. M.; Ocana, B. H. 2008. Modified bacterial foraging optimization for engineering design, in Proceedings of the 4th Mexican Congress on Evolutionary Computation (COMCEV'2008), 27–31 October 2008, CIMAT, México, 33–38.
- Montes, E.; Coello, C. A. C.; Velázquez-Reyes, J.; Muñoz-Dávila, L. 2007. Multiple trial vectors in differential evolution for engineering design, Engineering Optmization 39(5): 567–589. http://dx.doi.org/10.1080/03052150701364022
- Michalewicz, Z.; Attia, N. 1994. Evolutionary optimization of constrained problems, in Proceedings of the 3rd Annual Conference on Evolutionary Programming, World Scientific, 1994, River Edge, NJ, 98–108.
- Morin, A.; Okubo, A.; Kawasaki, K. 1988. Acoustic data analysis and models of krill spatial distribution, Selected Scientific Papers, Part I. Scientific Committee for the Conservation of Antarctic Marine Living Resources, 311–329.
- Nowcki, H. 1974. Optimization in pre-contract ship design, in Fujita, Y.; Lind, K.; Williams, T. J. (Eds). Computer applications in the automation of shipyard operation and ship design. Vol. 2. North-Holland, New York: Elsevier, 327–338.
- Park, Y. C.; Chang, M. H.; Lee, T.-Y. 2007. A new deterministic global optimization method for general twice differentiable constrained nonlinear programming problems, Engineering Optimization 39(4): 397–411. http://dx.doi.org/10.1080/03052150701218475
- Price, H. J. 1989. Swimming behavior of krill in response to algal patches: a mesocosm study, Limnol Oceanogr 34(4): 649–659. http://dx.doi.org/10.4319/lo.1989.34.4.0649
- Rao, S. S. 1996. Engineering optimization: theory and practice. 3rd ed. Chichester: John Wiley & Sons.
- Ray, T.; Saini, P. 2001. Engineering design optimization using a swarm with an intelligent information sharing among individuals, Engineering Optimization 33(6): 735–748. http://dx.doi.org/10.1080/03052150108940941
- Ray, T.; Liew, K. M. 2003. Society and civilization: an optimization algorithm based on the simulation of social behavior, IEEE Transactions on Evolutionary Computation 7(4): 386–396. http://dx.doi.org/10.1109/TEVC.2003.814902
- Rocha, A. M. A. C; Fernandes, E. M. G. P. 2009. Hybridizing the electromagnetism-like algorithm with descent search for solving engineering design problems, International Journal of Computer Mathematics 86(10–11): 1932–1946. http://dx.doi.org/10.1080/00207160902971533
- Sandgren, E. 1990. Nonlinear integer and discrete programming in mechanical design optimization, Journal of Mechanical Design 112(2): 223–229. http://dx.doi.org/10.1115/1.2912596
- Talbi, E. 2009. Metaheuristics: from design to implementation. Hoboken, New Jersey: John Wiley & Sons. http://dx.doi.org/10.1002/9780470496916
- Tsai, J. 2005. Global optimization of nonlinear fractional programming problems in engineering design, Engineering Optimization 37(4): 399–409. http://dx.doi.org/10.1080/03052150500066737
- Wang, L.; Li, L. P. 2010. An effective differential evolution with level comparison for constrained engineering design, Structural and Multidisciplinary Optimization 41(6): 947–963. http://dx.doi.org/10.1007/s00158-009-0454-5
- Wang, Y.; Cai, Z. X.; Zhou, Y. R.; Fan, Z. 2009. Constrained optimization based on hybrid evolutionary algorithm and adaptive constraint handling technique, Structural and Multidisciplinary Optimization 37(4): 395–413. http://dx.doi.org/10.1007/s00158-008-0238-3
- Wu, S. J.; Chow, P. E. 1995. Genetic algorithms for nonlinear mixed discrete-integer optimization problems via metagenetic parameter optimizations, Engineering Optimization 24(2): 137–159. http://dx.doi.org/10.1080/03052159508941187
- Yang, X.-S. 2009. Harmony search as a metaheuristic algorithm, in Geem, Z. W. (Ed.). Music-inspired harmony search: theory and applications. New York: Springer, 1–14.
- Yang, X.-S. 2010. Nature-inspired metaheuristic algorithms. 2nd ed. Bristol: Luniver Press.
- Yang, X. S.; Gandomi, A. H. 2012. Bat algorithm: a novel approach for global engineering optimization, Engineering Computation 29(5): 464–483. http://dx.doi.org/10.1108/02644401211235834
- Yun, Y. S. 2005. Study on adaptive hybrid genetic algorithm and its applications to engineering design problems. MSc Thesis. Waseda University.
- Zhang, M.; Luo, W.; Wang, X. 2008. Differential evolution with dynamic stochastic selection for constrained optimization, Information Sciences 178(15): 3043–3074. http://dx.doi.org/10.1016/j.ins.2008.02.014
- Zhao, J.; Wang, L.; Zeng, P.; Fan, W. 2012. An effective hybrid genetic algorithm with flexible allowance technique for constrained engineering design optimization, Expert Systems with Applications 39(5): 6041–6051. http://dx.doi.org/10.1016/j.eswa.2011.12.012