A heuristic immune-genetic algorithm for multimodal function optimization

被引：0
|
作者：
Li, Yua nyuan
Dai, Yongshou
Ma, Xigeng
机构：
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS | 2006年
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D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To avoid premature convergence and guarantee the diversity of the population, a Heuristic Immune-Genetic Algorithm (HIGA) is proposed. Rapid immune response (secondary response), adaptive mutation and density operators in the HIGA are emphatically designed to improve the searching ability, greatly increase the converging speed, and avoid locating the local maxima due to the premature convergence. The simulation results show that HIGA converges rapidly, guarantees the diversity, stability and good searching ability.
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页码：36 / 40
页数：5
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