渡线
选择(遗传算法)
计算机科学
基于群体的增量学习
突变
遗传算法
人口
算法
人工智能
数学优化
数学
机器学习
生物
遗传学
基因
人口学
社会学
出处
期刊:Studies in computational intelligence
日期:2018-06-26
卷期号:: 43-55
被引量:930
标识
DOI:10.1007/978-3-319-93025-1_4
摘要
Genetic Algorithm (GA) is one of the first population-based stochastic algorithm proposed in the history. Similar to other EAs, the main operators of GA are selection, crossover, and mutation. This chapter briefly presents this algorithm and applies it to several case studies to observe its performance.
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