进化算法
计算机科学
稳健性(进化)
算法
进化计算
文化算法
选择(遗传算法)
人工智能
基于群体的增量学习
遗传算法
机器学习
生物化学
基因
化学
作者
Lanxue Liu,Fei Teng,Zhengyu Zhu,Kangle Wu,Yutong Zhang
标识
DOI:10.1109/icbaie59714.2023.10281260
摘要
Evolutionary algorithm is a kind of according to the selection and evolution of biological evolution model and the evolution of a kind of random search technology. Evolutionary algorithm is a blend of genetics, and cell biology evolution, therefore has a comparatively complete theoretical basis. Evolutionary algorithm has a good robustness, parallelism and flexible structure and so on. At present, widely used in path planning, feature selection, image processing, etc. This paper introduces the four parts, first is the basic theory of algorithm and the characteristics of the general framework, algorithm research, mathematical model and algorithm of improvement.
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