[1] MEZURA-MONTES E,COELLO C A C. Constraint-handling in nature-inspired numerical optimization:past,present and future[J]. Swarm and Evolutionary Computation,2011,1(4):173-194. [2] WU G,PEDRYCZ W,SUGANTHAN P N,et al. Using variable reduction strategy to accelerate evolutionary optimization[J]. Applied Soft Computing,2017,61:283-293. [3] MEZURA-MONTES E,COELLO C A C. A simple multimembered evolution strategy to solve constrained optimization problems[J]. IEEE Transactions on Evolutionary Computation,2005,9(1):1-17. [4] WANG Y,CAI Z,GUO G,et al. Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization problems[J]. IEEE Transactions on Systems Man and Cybernetics, Part B(Cybernetics),2007,37(3):560-575. [5] 李智勇, 黄滔, 陈少淼, 等. 约束优化进化算法综述[J]. 软件学报,2017,28(6):1529-1546.(LI Z Y,HUANG T,CHEN S M, et al. Overview of constrained optimization evolutionary algorithms[J]. Journal of Software,2017,28(6):1529-1546.) [6] GONG W,CAI Z,LIANG D. Adaptive ranking mutation operator based differential evolution for constrained optimization[J]. IEEE Transactions on Cybernetics,2015,45(4):716-727. [7] SAHA A,DATTA R,DEB K. Hybrid gradient projection based genetic algorithms for constrained optimization[C]//Proceedings of the 2010 IEEE Congress on Evolutionary Computation. Piscataway:IEEE,2010:1-8. [8] RUNARSSON T P,YAO X. Stochastic ranking for constrained evolutionary optimization[J]. IEEE Transactions on Evolutionary Computation,2000,4(3):284-294. [9] TAKAHAMA T,SAKAI S. Constrained optimization by the ε constrained differential evolution with gradient-based mutation and feasible elites[C]//Proceedings of the 2006 IEEE International Conference on Evolutionary Computation. Piscataway:IEEE,2006:1-8. [10] MALLIPEDDI R,SUGANTHAN P N. Ensemble of constraint handling techniques[J]. IEEE Transactions on Evolutionary Computation,2010,14(4):561-579. [11] 于明渊. 基于自适应代理模型的粒子群算法在天线优化中的应用[D]. 郑州:郑州大学,2018,11-19. (YU M Y. Application of particle swarm optimization algorithm based on adaptive surrogate model in antenna optimization[D]. Zhengzhou:Zhengzhou University,2018,11-19.) [12] STORN R,PRICE K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of Global Optimization,1997,11(4):341-359. [13] WANG Y,WANG B,LI H X,et al. Incorporating objective function information into the feasibility rule for constrained evolutionary optimization[J]. IEEE Transactions on Cybernetics,2016,46(12):2938-2952. [14] 崔承刚, 杨晓飞. 基于内部罚函数的进化算法求解约束优化问题[J]. 软件学报,2015,26(7):1688-1699. (CUI C G,YANG X F. Interior penalty rule based evolutionary algorithm for constrained optimization[J]. Journal of Software,2015,26(7):1688-1699.) [15] WANG G G. Adaptive response surface method using inherited Latin hypercube design points[J]. Journal of Mechanical Design, 2003,125(2):210-220. |