摘要
基于元胞自动机理论提出一种改进混洗蛙跳算法.该算法将元胞自动机嵌入到混洗蛙跳算法中改进分组策略,应用云模型和混沌理论改进个体更新方式,利用演化规则模拟生物进化的动态特征.对6个基准函数进行测试的实验结果表明,该算法具有较好的收敛精度和计算速度,适用于多峰值函数寻优.
We proposed an improved shuffled frog leaping algorithm based on cellular automaton theory. In the algorithm,the cellular automaton was embedded into the shuffled frog leaping algorithm to improve the grouping strategy. We used cloud model and chaos theory to improve the individual update mode,and used dynamic characteristics of biological evolution to simulate the evolution rules. Simulation results of the six kinds of basic test functions show that the algorithm has better convergence precision and computing speed,and it is suitable for multi peak function optimization.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2016年第2期337-343,共7页
Journal of Jilin University:Science Edition
基金
黑龙江省教育厅项目(批准号:12541086)
关键词
混洗蛙跳算法
元胞自动机
云模型
混沌
连续空间优化
shuffled flog leaping algorithm
cellular automaton
cloud model
chaos
continuous space optimization
