[1]周蓝海,蔡东风.TSP冰晶算法[J].智能系统学报,2008,3(2):167-172.
ZHOU Lan-hai,CAI Dong-feng.Solving the TSP problem with a crystal algorithm[J].CAAI Transactions on Intelligent Systems,2008,3(2):167-172.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
3
期数:
2008年第2期
页码:
167-172
栏目:
学术论文—人工智能基础
出版日期:
2008-04-25
- Title:
-
Solving the TSP problem with a crystal algorithm
- 文章编号:
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1673-4785(2008)02-0167-06
- 作者:
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周蓝海, 蔡东风
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沈阳航空工业学院知识工程中心,辽宁沈阳110034
- Author(s):
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ZHOU Lan-hai, CAI Dong-feng
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Knowledge Engineering Research Center, Shenyang Institute of A eronautical Engineering,Shenyang 110034,China
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- 关键词:
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旅行商问题; 冰晶; 树枝晶; 凸壳; 非确定多项式
- Keywords:
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traveling salesman problem; ice crystal; dendrite; convex hull; nondeterministic polynomialm
- 分类号:
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TP301.5
- 文献标志码:
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A
- 摘要:
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TSP即旅行商问题,是一个典型的NP困难问题,随问题规模的增加,获得最优解的代价呈指数级增长.受自然智能的启发,冰晶算法首次模拟湖水降温时,湖面冰晶的生长过程,在亚稳态区内维持适宜的饱和度来尝试解决TSP问题.冰晶生长的过程就是TSP路径形成的过程,试验表明,这是一种快速有效的TSP问题近似算法,可在O(knlogn)时间复杂度下获得可行解,同时该算法适用于并行计算,可对开环、动态、大规模的TSP问题实时求解.
- Abstract:
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The traveling salesman problem (TSP) is a typical NP problem. The optimal solution can be costly to obtain as computational requirements of the problem increase exponentially with complexity. This paper proposes a new method for solving TSP problems. With this method, we simulated the growth process of crystals on the surface of a lake as the temperature of the water decreased. In the metastable region we maintained an appropriate degree of saturation and found the growth process of the crystals was the same as the process of forming a TSP path. The proposed method is an appropriate algorithm for solving TSP problems quickly and effectively, obtaining feasible solutions under O(knlogn) complexity. It can also be used in parallel computation, generating realtime solutions for openlooped, dynamic, and largescale TSP problems.
更新日期/Last Update:
2009-05-11