[1]
|
K. Deb, “An efficient constraint handling method for genetic algorithms,” Computer Methods in Applied Mechanics and Engineering, Vol. 186, No. 2, pp. 311–338, 2000.
|
[2]
|
E. Mezura-Montes and A. G. Palomeque-Qrtiz, “Parameter control in differential evolution for constrained optimization,” 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1375–1382, 2009.
|
[3]
|
E. Mezura-Montes, C. A. Coello Coello, J. Velázquez- Reyes, and L. Mu?oz-Dávila, “Multiple trial vectors in differential evolution for engineering design,” Engineering Optimization, Vol. 39, No. 5, pp. 567–589, 2007.
|
[4]
|
C. A. Coello Coello, “Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state of the art,” Computer Methods in Applied Mechanics and Engineering, Vol. 191, No. 11-12, pp. 1245–1287, 2002.
|
[5]
|
R. Landa-Becerra and C. A. Coello Coello, “Cultured differential evolution for constrained optimization,” Computer Methods in Applied Mechanics and Engineering, Vol. 195, No. 33–36, pp. 4303–4322, 2006.
|
[6]
|
T. Ray and K. M. Liew, “Society and civilization: An optimization algorithm based on the simulation of social behavior,” IEEE Transactions on Evolutionary Computation, Vol. 7, No. 4, pp. 386–396, 2003.
|
[7]
|
S. He, E. Prempain, and Q. H. Wu, “An improved particle swarm optimizer for mechanical design optimization problems,” Engineering Optimization, Vol. 36, No. 5, pp. 585–605, 2004.
|
[8]
|
M. Zhang, W. J. Luo, and X. F. Wang, “Differential evolution with dynamic stochastic selection for constrained optimization,” Information Sciences, Vol. 178, pp. 3043–3074, 2008.
|
[9]
|
S. Akhtar, K. Tai, and T. Ray, “A socio-behavioural simulation model for engineering design optimization,” Engineering Optimization, Vol. 34, No. 4, pp. 341–354, 2002.
|
[10]
|
Q. He and L. Wang, “An effective co-evolutionary particle swarm optimization for constrained engineering design problems,” Engineering Applications of Artificial Intelligence, Vol. 20, No. 1, pp. 89–99, 2007.
|
[11]
|
J. H. Wang and Z. Y. Yin, “A ranking selection-based particle swarm optimizer for engineering design optimization problems,” Structural and Multidisciplinary Optimization, Vol. 37, No. 2, pp. 131–147, 2008.
|
[12]
|
R. Storn and K. Price, “Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces,” Journal of Global Optimization, Vol. 11, pp. 341–359, 1997.
|
[13]
|
K. Price, R. Storn, and J. Lampinen, “Differential evolution: A practical approach to global optimization,” Berlin: Springer-Verlag, 2005.
|
[14]
|
Z. Y. Yang, K. Tang, and X. Yao, “Self-adaptive differential evolution with neighborhood search,” 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1110–1116, 2008.
|
[15]
|
H. A. Abbass, R. Sarker, and C. Newton, “PDE: A Pareto-frontier differential evolution approach for multiobjective optimization problems,” Proceedings of IEEE Congress on Evolutionary Computation, Vol. 2, pp. 971– 978, 2001.
|
[16]
|
Y. W. Leung and Y. P. Wang, “An orthogonal genetic algorithm with quantization for global numerical optimization,” IEEE Transactions on Evolutionary Computation, Vol. 5, No. 1, pp. 40–53, 2001.
|
[17]
|
S. Tsutsui, M. Yamamure, and T. Higuchi, “Multi-parent recombination with simplex crossover in real coded genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference, pp. 657–664, 1999.
|
[18]
|
J. Brest, V. Zumer, and M. S. Maucec, “Self-adaptive differential evolution algorithm in constrained real-parameter optimization,” 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 919–926, 2006.
|
[19]
|
Y. Wang and Z. X. Cai, “A hybrid multi-swarm particle swarm optimization to solve constrained optimization problems,” Frontiers of Computer Science in China, Vol. 3, No. 1, pp. 38–52, 2009.
|
[20]
|
L. C. Cagnina, S. C. Esquivel, and C. A. Coello Coello, “Solving engineering optimization problems with the simple constrained particle swarm optimizer,” Informatica, Vol. 32, pp. 319–326, 2008.
|
[21]
|
C. A. Coello Coello, “Use of a self-adaptive penalty approach for engineering optimization problems,” Computers in Industry, Vol. 41, No. 2, pp. 113–127, 2000.
|
[22]
|
T. P. Runarsson and X. Yao, “Stochastic ranking for constrained evolutionary optimization,” IEEE Transactions on Evolutionary Computation, Vol. 4, No. 3, pp. 284–294, 2000.
|
[23]
|
K. Hans Raj, R. S. Sharma, G. S. Mishra, A. Dua, and C. Patvardhan, “An evolutionary computational technique for constrained optimisation in engineering design,” Journal of the Institution of Engineers India Part Me Mechanical Engineering Division, Vol. 86, pp. 121–128, 2005.
|
[24]
|
T. Ray and P. Saini, “Engineering design optimization using a swarm with intelligent information sharing among individuals,” Engineering Optimization, Vol. 33, No. 33, pp. 735–748, 2001.
|
[25]
|
A. R. Hedar and M. Fukushima, “Derivative-free filter simulated annealing method for constrained continuous global optimization,” Journal of Global Optimization, Vol. 35, No. 4, pp. 521–549, 2006.
|
[26]
|
C. A. Coello, “Self-adaptive penalties for GA- based optimization,” Proceedings of the Congress on Evolutionary Computation 1999 (CEC'99), Vol. 1, pp. 573–580, 1999.
|
[27]
|
E. Mezura-Montes, C. A. Coello, and J. V. Reyes, “Increasing successful offspring and diversity in differential evolution for engineering design,” Proceedings of the Seventh International Conference on Adaptive Computing in Design and Manufacture (ACDM 2006), pp. 131– 139, 2006.
|
[28]
|
A. E. Mu?oz Zavala, A. Hernández Aguirre, E. R. Villa Diharce, and S. Botello Rionda, “Constrained optimization with an improved particle swarm optimization algorithm,” International Journal of Intelligent Computing and Cybernetics, Vol. 1, No. 3, pp. 425–453, 2008.
|
[29]
|
X. H. Hu, R. C. Eberhart, and Y. H. Shi, “Engineering optimization with particle swarm,” Proceedings of the 2003 IEEE Swarm Intelligence Symposium, pp. 53–57, 2003.
|
[30]
|
A. Homaifar, S. H. Y. Lai, and X. Qi, “Constrained optimization via genetic algorithms,” Simulation, Vol. 62, No. 4, pp. 242–254, 1994.
|