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Yao Xin; Chen Guoliang and Xu Huimin (Department of Computer Science and Technology, Universtiy of Science and Technoloyg of China, Heifei 230027)Liu Yong (Institute of Software Engineering, Wuhan University, Wuhan 430072)  
Evolutionary Algorithms (EAs) , such as generic algorithms (GAs),evolution strategies (ES's), evolutionary programming (EP) and evolution programs (EPs) ) are a class of stochastic search algorithms which can be applied to both combinatorial and numerical optimization problems. This article first introduces the basic ideas of EAs, and then discusses some advanced variations of the basic algorithms. Some typical applications of EAs are also presented. Finally, a survey of the state-of-the-art of EA research is given and future research directions are pointed out.
【Fund】: 国家攀登计划认知科学(神经网络)重大关键项目 澳大利亚研究基金会基金
【CateGory Index】: TP18
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