Abstract：To balance the global exploration and local development of differential evolution algorithm(DE) and avoid the algorithm falling into the local optimal, a group mutation adaptive differential evolution algorithm based on probability judgment method(GVADE) is proposed. Evolutionary states of an individual are divided into three states based on probability judgment method: better, worse or general. Then, the appropriate mutation operator and control parameter group are applied for the individual. Meanwhile, a mutation operator with strong global exploratory capability is designed to meet the needs of worse evolutionary individual mutation. The experimental results show that GVADE algorithm is superior to the other DE algorithms on the CEC2005 standard testing sets. It can balance the global exploration and local development well with high convergence accuracy.
李浩君, 刘中锋, 冉金亭. 采用概率判定法的分组变异自适应差分进化算法[J]. 模式识别与人工智能, 2018, 31(2): 132-141.
LI Haojun, LIU Zhongfeng, RAN Jinting. Group Mutation Adaptive Differential Evolution Algorithm Based on Probability Judgment Method. , 2018, 31(2): 132-141.
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2018, Vol. 31 
