摘要
蚁群算法是一种模拟自然界蚂蚁觅食行为的仿生算法,通过个体间的信息交流和协作,能够在搜索空间中快速找到问题的解。在二维排料问题中,蚁群算法通过模拟蚂蚁在寻找食物过程中的路径选择行为,能够有效地探索和利用排料空间,从而找到更优的排料方案。基于此,详细介绍蚁群算法的原理及其在二维排料问题中的应用,展示蚁群算法相较于传统算法在解决二维排料问题时的优势,为工业生产中的排料优化提供新的思路和方法。
Ant colony algorithm,as a bionic algorithm that simulates the foraging behavior of ants in nature,is characterized by the ability to quickly find the solution of the problem in the search space through information exchange and cooperation between individuals.In the two-dimensional nesting problem,the ant colony algorithm can effectively explore and utilize the nesting space by simulating the path selection behavior of ants in the process of searching for food,so as to find a better nesting scheme.In this paper,we will introduce the principle of ant colony algorithm and its application in two-dimensional nesting problems in detail,show the advantages of ant colony algorithm over traditional algorithms in solving two-dimensional nesting problems,and provide new ideas and methods for nesting optimization in industrial production.
作者
赵田力
ZHAO Tianli(Beta Technology(Suzhou)Co.,Ltd.,Suzhou 215500,China)
出处
《智能物联技术》
2024年第5期58-61,共4页
Technology of Io T& AI
关键词
蚁群算法
二维排料问题
信息素
ant colony algorithm
two-dimensional nesting problem
pheromone
