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Research on the memetic algorithm researc on Multimodal function optimization

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成果类型:
期刊论文
作者:
Liu, Hean;Wu, Shuguang
通讯作者:
Liu, H.(33894549@qq.com)
作者机构:
[Liu, Hean] Network Information Center, Hunan City University, Yiyang 413000, China
[Wu, Shuguang] Modern Education Technology Center, Hunan University of Technology, Zhuzhou, Hunan 412007, China
语种:
英文
关键词:
Fast convergence;Global searching ability;Hill-climbing methods;Local searching;Memetic algorithms;Multi modal function;Multi-peak functions;Multimodal function optimization;Optimal solutions;Optimal values;Optimal systems;Particle swarm optimization (PSO);Algorithms
期刊:
Journal of Convergence Information Technology
ISSN:
1975-9320
年:
2012
卷:
7
期:
18
页码:
464-472
机构署名:
本校为第一机构
院系归属:
信息与电子工程学院
摘要:
This essay combines the global searching ability of particle swarm optimization with the local searching ability of hill climbing method, and then enhances the ability of the algorithm searches on the optimal solution, thus puts forward the Memetic algorithm research on multimodal function. The simulation results show that this algorithm not only has a stronger ability to find the optimal value, but also more stable, reliable and with fast...

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