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稿件标题: Second Order Differential Evolution Algorithm
稿件作者: Xinchao Zhao, Dongyue Liu, Guangzhi Xu, Xingquan Zuo, Rui Li
关键字词: differential evolution; second order difference vector; memory storage; swarm intelligence
文章摘要: Differential evolution (DE) is a simple, efficient and robust Evolutionary Algorithm (EA) for various optimization problems, which has several outstanding features, such as low time complexity, ease to use and robust steadiness. So it is becoming more and more popular and being widely used in more and more applications. However, many questions are deserving to consider the balance between exploration and exploitation behaviors. The difference vector of mutation operator for the neighborhood and direction information has not been completely utilized. Therefore, a second order differential evolution algorithm, SODE, is proposed, which can efficiently utilize the search direction information from the second order difference vector. The optimal second order difference mechanisms are proposed for DE/rand/1 and DE/best/1 to utilize the neighborhood and direction information of the difference vector. Then it will guide the individuals toward the possible more encouraging areas. Extensive expe
收录刊物: 2017年2卷2期
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