Solution of Travelling Salesman Problem by a Kind of Simulated Annealing Algorithm
Liu Xiangbin
Abstract
Liu Xiangbin
Abstract
Travelling Salesman Problem(TSP) is one of the typical NP-hard problems in combinatorial optimization,which is easy to be described but hard to be solved.Its possible amounts of path increase exponentially with the amounts of city,so it is very difficult to solve it.TSP is first introduced in this paper,then the principal of simulated annealing algorithm and its algorithm realization are introduced too.TSP is studied by simulated annealing algorithm and an approximate algorithm which method for solving TSP is better than others,and using Matlab,we complete the program for solving TSP.The simulation of algorithm for travelling salesman problem is given,and the results prove its efficiency.
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Travelling Salesman Problem(TSP) is one of the typical NP-hard problems in combinatorial optimization,which is easy to be described but hard to be solved.Its possible amounts of path increase exponentially with the amounts of city,so it is very difficult to solve it.TSP is first introduced in this paper,then the principal of simulated annealing algorithm and its algorithm realization are introduced too.TSP is studied by simulated annealing algorithm and an approximate algorithm which method for solving TSP is better than others,and using Matlab,we complete the program for solving TSP.The simulation of algorithm for travelling salesman problem is given,and the results prove its efficiency.
Key concepts: Travelling salesman problem, Simulated annealing, 2-opt, Bottleneck traveling salesman problem, Mathematical optimization, Computer science, Lin–Kernighan heuristic, Christofides algorithm