差分进化算法:相关论文和源代码
[English version]
* 差分进化算法 (Differential Evolution, DE), 又翻译为差异演化算法, 差分演化算法, 差异进化算法, 微分进化算法,简称DE算法.
它最初被作为一种演化策略而提出,然而根据其个体拥有私有记忆能力以及群体的社会共享行为,可以认为它属于群集智能 (Swarm intelligence, SI) 的一种。
DE可以被纳入多主体优化系统 (Multiagent Optimization System, MAOS).
Xiao-Feng Xie, Jiming Liu. A compact multiagent system based on autonomy oriented computing, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Compiégne, France, 2005: 38-44. [DOI]
Xiao-Feng Xie, Wen-Jun Zhang. SWAF: swarm algorithm framework for numerical optimization. Genetic and Evolutionary Computation Conference (GECCO), LNCS 3102, Seattle, WA, USA, 2004: 238-250. [DOI]
Xiao-Feng Xie, Wen-Jun Zhang, De-Chun Bi. Handling equality constraints by adaptive relaxing rule for swarm algorithms. Congress on Evolutionary Computation (CEC), Portland, OR, USA, 2004: 2012-2016. [DOI]
Wen-Jun Zhang, Xiao-Feng Xie. DEPSO: hybrid particle swarm with differential evolution operator. IEEE International Conference on Systems, Man, and Cybernetics (SMCC), Washington, DC, USA, 2003: 3816-3821. [DOI]
谢晓锋, 张文俊, 张国瑞, 杨之廉. 差异演化的实验研究. 控制与决策, 2004, 19(1): 49-52 [DOI]
*缩写: SRC=源代码; BIN=执行代码
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