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摘要:
Traveling Salesman Problem (TSP) is one of the most widely studied real world problems of finding the shortest (minimum cost) possible route that visits each node in a given set of nodes (cities) once and then returns to origin city. The optimization of cuboid areas has potential samples that can be adapted to real world. Cuboid surfaces of buildings, rooms, furniture etc. can be given as examples. Many optimization algorithms have been used in solution of optimization problems at present. Among them, meta-heuristic algorithms come first. In this study, ant colony optimization, one of meta-heuristic methods, is applied to solve Euclidian TSP consisting of nine different sized sets of nodes randomly placed on a cuboid surface. The performance of this method is shown in tests.
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篇名 Application of Ant Colony Optimization for the Solution of 3 Dimensional Cuboid Structures
来源期刊 电脑和通信(英文) 学科 数学
关键词 Euclidean TSP ANT COLONY Optimization METAHEURISTIC PATH-RELINKING Path Planning CUBOID
年,卷(期) 2014,(4) 所属期刊栏目
研究方向 页码范围 99-107
页数 9页 分类号 O1
字数 语种
DOI
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研究主题发展历程
节点文献
Euclidean
TSP
ANT
COLONY
Optimization
METAHEURISTIC
PATH-RELINKING
Path
Planning
CUBOID
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
783
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0
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