| 一种用于优化计算的自适应免疫遗传算法 |
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| 引用本文： | 马西庚,李媛媛,戴永寿.一种用于优化计算的自适应免疫遗传算法[J].计算机工程与应用,2006,42(12):41-43,49. |
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| 作者姓名： | 马西庚 李媛媛 戴永寿 |
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| 作者单位： | 中国石油大学(华东)控制理论与控制工程学院,东营,257061 |
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| 摘 要： | 遗传算法在进化过程中易出现早熟收敛、不能保证种群多样性的现象。鉴于免疫算法适用于多峰值寻优,文章在标准遗传算法中引入免疫机制,提出了一种自适应免疫遗传算法。变异率自适应和种群大小自适应提高了算法全局寻优的稳定性,个体浓度的使用改进了种群的多样性,引入二次应答机制和精英库提高了收敛速度。试验表明,该算法收敛速度快、稳定性好,并保证了种群多样性。
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| 关 键 词： | 遗传算法(GA) 免疫记忆 自适应变异 二次应答 |
| 文章编号： | 1002-8331-（2006）12-0041-03 |
| 收稿时间： | 2005-12 |
| 修稿时间： | 2005-12 |
An Adaptive Immune-Genetic Algorithm Applied to Optimization Computation |
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| Ma Xigeng,Li Yuanyuan,Dai Yongshou.An Adaptive Immune-Genetic Algorithm Applied to Optimization Computation[J].Computer Engineering and Applications,2006,42(12):41-43,49. |
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| Authors: | Ma Xigeng Li Yuanyuan Dai Yongshou |
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| Affiliation: | China University of Petroleum,Dongying 257061 |
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| Abstract: | To avoid premature and guarantee the diversity of the population,an Adaptive Immune-Genetic Algorithm(AIGA) is proposed to solve these problems.Rapid immune response(secondary response),adaptive mutation and concen-tration operators in the AIGA are emphatically designed to improve the searching ability,greatly increase the converging speed,avoid locating the local maximum due to the premature convergence.The simulation results show that AIGA converged rapidly,guaranteed the diversity,stability and good performance. |
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| Keywords: | Genetic Algorithms(GA) immune memory adaptive mutation secondary response |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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