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遗传算法和粒子群算法的现状及发展策略研究 被引量:4

Study on the current status and development strategy of genetic algorithm and particle group algorithms
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摘要 智能技术已经广泛应用于当今世界的各行各业,而智能技术的核心智能算法也得到了极大发展和高度重视,被我国列入中长期的战略发展规划。文章简单介绍了以自然规律作为模仿对象设计的相关智能算法,针对一些算法的优点和不足进行总结,介绍了遗传算法和粒子群算法,并对智能算法的发展进行了展望。 Intelligent technology has been widely used in various industries in the world today, and the core intelligent algorithm of intelligent technology has been greatly developed and attached great importance to. Intelligent algorithm is also included in the mediumand long-term strategic development plan. This paper briefly introduces the related intelligent algorithm of imitating object design with natural law. The advantages and disadvantages of some algorithms are summarized. In this paper, genetic algorithm and particle swarm optimization are introduced, and the development of intelligent algorithm is prospected.
作者 鲁欣欣 王淮冬 Lu Xinxin;Wang Huaidong(Department of Basic Teaching and Research,Jilin Institute of Industry and Commerce,Changchun 130507,China;School of Electrical and Electronic Engineering,Changchun University of Technology,Changchun 130012,China)
出处 《无线互联科技》 2021年第21期108-109,共2页 Wireless Internet Technology
关键词 智能算法 遗传算法 粒子群算法 intelligent algorithm genetic algorithm particle swarm optimization
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