[1] Ciornei I, Kyriakides E. Hybrid Ant Colony-genetic Algorithm (GAAPI) for Global Continuous Optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2012, 42(1): 234-245.
[2] 丁建立, 陈增强, 袁著祉. 遗传算法与蚂蚁算法的融合[J].计算机研究与发展, 2003, 40(9): 1351-1356.
[3] 何宗耀, 王 翔. 蜂群-蚁群自适应优化算法[J]. 计算机应用研究, 2012, 29(1): 130-134.
[4] 高 芳, 韩 璞, 翟永杰. 基于变异操作的蚁群算法用于连续函数优化[J]. 计算机工程与应用, 2011, 47(4): 5-8.
[5] Stron R, Price K. Differential Evolution——A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces[R]. International Computer Science Institute, Technical Report: TR-95-012, 1995.
[6] Stron R and 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.
[7] 段海滨, 张祥银, 徐春芳. 仿生智能计算[M]. 北京: 科学出版社, 2011.
[8] Vasile M, Minisci E, Locatelli M. An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization[J]. IEEE Transactions on Evolutionary Computation, 2011, 15(2): 267-281.
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[9] 赵光权, 彭喜元, 孙 宁. 基于混合优化策略的微分进化改进算法[J]. 电子学报, 2006, 34(S1): 2402-2405.
[10] Islam S M, Das S, Ghoshm S, et al. An Adaptive Differential Evolution Algorithm with Novel Mutation and Crossover Strategies for Global Numerical Optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2012, 40(2): 482-500.
[11] Mininno E, Neri F, Cupertino F, et al. Compact Differential
Evolution[J]. IEEE Transactions on Evolutionary Computation, 2011, 15(1): 32-54.
[12] 苏海军, 杨煜普, 王宇嘉. 微分进化算法的研究综述[J]. 系统工程与电子技术, 2008, 30(9): 1793-1796.
[13] 高 尚, 杨静宇. 群智能算法及其应用[M]. 北京: 中国水利水电出版社, 2006.
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