2014•Unpublished venueRequires access

Integrating Relative Coordinates with Simulated Annealing to Solve a Traveling Salesman Problem

Xiaojun Liu, Bin Zhang, Fangying Du

Open publisher page 5 citations

Abstract

Traveling salesman problem is one of most famous problems in Combinatorial Optimization. This paper presents a case study of ANJI-CEVA AUTOMOTIVE LOGISTICS CO., LTD. We formulated their problem as a traveling salesman problem and, with the use of relative coordinates of the locations as problem parameters, solved the traveling salesman problem by simulated annealing and our final solution is shown to be a circular path.

About this research paper

What this paper is about

Traveling salesman problem is one of most famous problems in Combinatorial Optimization. This paper presents a case study of ANJI-CEVA AUTOMOTIVE LOGISTICS CO., LTD. We formulated their problem as a traveling salesman problem and, with the use of relative coordinates of the locations as problem parameters, solved the traveling salesman problem by simulated annealing and our final solution is shown to be a circular path.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Traveling salesman problem is one of most famous problems in Combinatorial Optimization. This paper presents a case study of ANJI-CEVA AUTOMOTIVE LOGISTICS CO., LTD. We formulated their problem as a traveling salesman problem and, with the use of relative coordinates of the locations as problem parameters, solved the traveling salesman problem by simulated annealing and our final solution is shown to be a circular path.

Key concepts: Travelling salesman problem, Simulated annealing, Mathematical optimization, 2-opt, Bottleneck traveling salesman problem, Lin–Kernighan heuristic, Combinatorial optimization, Computer science

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