References

Arora, J.S., 1989. Introduction to Optimum Design. McGraw-Hill International, New York.

Belegundu, A.D., 1982. A study of mathematical programming methods for structural optimization. Ph.D. Thesis, Department of Civil and Environmental Engineering, University of Iowa, Iowa

Coello, C.A.C., 2000. Constraint-handling using an evolutionary multiobjective optimization technique. Civ. Eng. Environ. Syst., 17: 319-346.
Direct Link  |  

Coello, C.A.C., 2000. Use of a self-adaptive penalty approach for engineering optimization problems. Comput. Ind., 41: 113-127.
CrossRef  |  

Creel, S. and N.M. Creel, 1995. Communal hunting and pack size in African wild dogs, Lycaon pictus. Anim. Behav., 50: 1325-1339.
CrossRef  |  

Deb, K., 1991. Optimal design of a welded beam via genetic algorithms. AIAA J., 29: 2013-2015.
CrossRef  |  

Deb, K., 2000. An efficient constraint handling method for genetic algorithms. Comput. Methods Applied Mech. Eng., 186: 311-338.
CrossRef  |  

Dorigo, M., V. Maniezzo and A. Colorni, 1996. Ant system: Optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. Part B: Cybern., 26: 29-41.
CrossRef  |  Direct Link  |  

Eberhart, R.C. and J. Kennedy, 1995. A new optimizer using particle swarm theory. Proceedings of the 6th International Symposium on Micro Machine and Human Science, October 4-6, 1995, Nagoya, Japan, pp: 39-43.

Erol, O.K. and I. Eksin, 2006. A new optimization method: Big Bang-Big Crunch. Adv. Eng. Software, 37: 106-111.
CrossRef  |  

Gandomi, A.H., X.S. Yang and A.H. Alavi, 2013. Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems. Eng. Comput., 29: 17-35.
CrossRef  |  Direct Link  |  

Geem, Z.W., J.H. Kim and G.V. Loganathan, 2001. A new heuristic optimization algorithm: Harmony search. Simulation, 76: 60-68.
CrossRef  |  Direct Link  |  

Glover, F., 1977. Heuristics for integer programming using surrogate constraints. Decis. Sci., 8: 156-166.
CrossRef  |  

Goldberg, D.E., 1989. Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley, USA.

Goldstein, A.A. and J.F. Price, 1971. On descent from local minima. Math. Comput., 25: 569-574.
Direct Link  |  

Kaveh, A. and S. Talatahari, 2010. A novel heuristic optimization method: charged system search. Acta Mech., 213: 267-289.
CrossRef  |  Direct Link  |  

Kirkpatrick, S., 1984. Optimization by simulated annealing: Quantitative studies. J. Stat. Phys., 34: 975-986.
CrossRef  |  

Krishnanand, K.N. and D. Ghose, 2006. Glowworm swarm based optimization algorithm for multimodal functions with collective robotics applications. Multiagent Grid Syst., 2: 209-222.
Direct Link  |  

Lee, K. and Z. Geem, 2005. A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput. Methods Applied Mechanics Eng., 194: 3902-3933.

Mahdavi, M., M. Fesanghari and E. Damangir, 2007. An improved harmony search algorithm for solving optimization problems. Applied Math. Comput., 188: 1567-1579.
CrossRef  |  

Oftadeh, R., M.J. Mahjoob and M. Shariatpanahi, 2010. A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search. Comput. Math. Appl., 60: 2087-2098.
CrossRef  |  

Ragsdell, K.M. and D.T. Phillips, 1976. Optimal design of a class of welded structures using geometric programming. J. Eng. Ind., 98: 1021-1025.
CrossRef  |  

Sandgren, E., 1990. Nonlinear integer and discrete programming in mechanical design optimization. J. Mech. Des., 112: 223-229.
CrossRef  |  

Wu, S.J. and P.T. Chow, 1995. Genetic algorithms for nonlinear mixed discrete-integer optimization problems via meta-genetic parameter optimization. Eng. Optim., 24: 137-159.
Direct Link  |  

Yang, X.S., 2009. Firefly Algorithms for multimodal optimization. Lecture Notes Comput. Sci., 5792: 169-178.
Direct Link  |  

Yang, X.S., 2010. A New Metaheuristic Bat-Inspired Algorithm. In: Nature Inspired Cooperative Strategies for Optimization, Gonzalez, J.R., D.A. Pelta, C. Cruz, G. Terrazas and N. Krasnogor (Eds.). Springer, Berlin, Germany, ISBN: 9783642125379, pp: 65-74.

Yang, X.S., 2011. Nature-Inspired Metaheuristic Algorithms. 2nd Edn., Luniver Press, UK., ISBN: 9781905986286, Pages: 160.