粒子群算法与遗传算法的比较研究

Journal of Advanced Computer Science & Technology Pub Date : 2019-10-19 DOI:10.14419/JACST.V8I2.29401

Saman M. Almufti, Amar Yahya Zebari, H. K. Omer

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引用次数: 7

摘要

本文在前人研究的基础上，对遗传算法(GA)和粒子群算法(PSO)这两种广泛应用的进化计算算法进行了介绍和比较。介绍了遗传算法的基本功能，包括选择、交叉、变异等步骤。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A comparative study of particle swarm optimization and genetic algorithm

This paper provides an introduction and a comparison of two widely used evolutionary computation algorithms: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) based on the previous studies and researches. It describes Genetic Algorithm basic functionalities including various steps such as selection, crossover, and mutation.

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Journal of Advanced Computer Science & Technology

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