一种新的遗传算法及其在动态环境中的应用
New Genetic Algorithm and Its Application in Dynamic Environment
本文提出了一种改进的原对偶遗传算法（Primal-Dual Genetic Algorithm），与原始的算法相比，利用染色体每个基因位点上位值分布的统计信息来改进原对偶映射的效果。通过实验能够证明改进后的PDGA在动态环境中的性能得到了进一步的改善。
In this paper, a new variation of Genetic Algorithm, Primal-Dual GA (PDGA) is improved and proposed for problem optimization in non-stationary environments. Compared to original algorithm, the modified optimizer uses the statistics information of the allele distribution in each locus to adjust the scheme of primal-dual mapping. Experiment results suggest that the statistics-based algorithm is more efficient than original method in some dynamic environments.
刘黎黎、王洪峰、汪定伟
遗传学生物工程学自动化基础理论
动态优化，原对偶映射，遗传算法
ynamic Optimization Primal-Dual Mapping Genetic Algorithm
刘黎黎,王洪峰,汪定伟.一种新的遗传算法及其在动态环境中的应用[EB/OL].(2008-01-04)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200801-132.点此复制
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