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.
关键词
蚁群算法/二维排料问题/信息素
Key words
ant colony algorithm/two-dimensional nesting problem/pheromone
维普
万方数据