2006Modern Electronics TechniqueRequires access

Simulated Annealing Algorithm and the Application for Solving TSP

Li Guo

Open publisher page 1 citations

Abstract

TSP is a famous NP-hard problem in the theory of combination optimization.Simulated annealing algorithm is an effective method for solving TSP.Simulated annealing algorithm and Metropolis algorithm are introduced.TSP is studied by simulated annealing algorithm and an approximate algorithm which method for solving TSP(NP) is better than others.This algorithm description is beneficial to computer programming.

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What this paper is about

TSP is a famous NP-hard problem in the theory of combination optimization.Simulated annealing algorithm is an effective method for solving TSP.Simulated annealing algorithm and Metropolis algorithm are introduced.TSP is studied by simulated annealing algorithm and an approximate algorithm which method for solving TSP(NP) is better than others.This algorithm description is beneficial to computer programming.

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Available abstract

TSP is a famous NP-hard problem in the theory of combination optimization.Simulated annealing algorithm is an effective method for solving TSP.Simulated annealing algorithm and Metropolis algorithm are introduced.TSP is studied by simulated annealing algorithm and an approximate algorithm which method for solving TSP(NP) is better than others.This algorithm description is beneficial to computer programming.

Key concepts: Simulated annealing, Adaptive simulated annealing, Algorithm, Travelling salesman problem, Computer science, Mathematical optimization, Mathematics

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