2003Unpublished venueRequires access

SOLVING TSP BASED ON AN IMPROVED GENETIC ALGORITHM

Ruan Huai

Open publisher page 1 citations

Abstract

TSP(Traveling Salesman Problem)is a typical NP complete problem,genetic algorithm is the perfect method for solving NP complete problem.This paper proposes a new genetic algorithm using the maintaining variety mechanism to design the selection mechanism of the algorithm in order to improve the algorithm capability. We also use this algorithm to resolve the TSP and get the perfect results.

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What this paper is about

TSP(Traveling Salesman Problem)is a typical NP complete problem,genetic algorithm is the perfect method for solving NP complete problem.This paper proposes a new genetic algorithm using the maintaining variety mechanism to design the selection mechanism of the algorithm in order to improve the algorithm capability. We also use this algorithm to resolve the TSP and get the perfect results.

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Available abstract

TSP(Traveling Salesman Problem)is a typical NP complete problem,genetic algorithm is the perfect method for solving NP complete problem.This paper proposes a new genetic algorithm using the maintaining variety mechanism to design the selection mechanism of the algorithm in order to improve the algorithm capability. We also use this algorithm to resolve the TSP and get the perfect results.

Key concepts: Travelling salesman problem, Genetic algorithm, Algorithm, Mathematical optimization, Selection (genetic algorithm), Computer science, Population-based incremental learning, Variety (cybernetics)

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