Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1713137 | Journal of Systems Engineering and Electronics | 2007 | 6 Pages |
Abstract
An adaptive immunegenetic algorithm (AIGA) is proposed to avoid premature convergence and guarantee the diversity of the population. Rapid immune response (secondary response), adaptive mutation and density operators in the AIGA are emphatically designed to improve the searching ability, greatly increase the converging speed, and decrease locating the local maxima due to the premature convergence. The simulation results obtained from the global optimization to four multivariable and multi-extreme functions show that AIGA converges rapidly, guarantees the diversity, stability and good searching ability.
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Authors
Dai Yongshou, Li Yuanyuan, Wei Lei, Wang Junling, Zheng Deling,