自适应小生境遗传算法的性能分析
Performance Analysis for Self-adaptive Niching Genetic Algorithm
本文提出一种改进的维持物种多样性的小生境实现技术——自适应小生境遗传算法。该算法以Mahfoud提出的确定性排挤策略为基础，采用数值编码，并结合算术交叉、非均匀变异和高斯变异、自适应变异概率。经过实验分析，验证了该算法能有效地、自适应地形成小生境进化环境，并具备相当的收敛速度和相当的求解精度。
he paper represents an advanced niching Genetic Algorithm with self-adaptively forming niches to remain the diversity of spaces. Based on Mahfoud’s deterministic crowding concept, the algorithm embodies real-coded, arithmetical crossover operator, nonuniform mutation operator and Gauss mutation operator, and self-adaptive probability of mutation. With several experiences, we found the algorithm can effectively and self-adaptively form niches and that the optimal solutions can be found quickly every time.
李明林
计算技术、计算机技术
小生境，自适应，遗传算法，多态优化，排挤
niche self-adaptive Genetic Algorithms multimodal optimization crowding
李明林.自适应小生境遗传算法的性能分析[EB/OL].(2006-03-22)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200603-396.点此复制
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