The Traveling Salesman Problem (TSP) is one of the most well known combinatorial optimization problem and has wide range of application. Since the TSP is NP-hard, many heuristics for the TSP have been developed. This study proposes a new heuristic for the TSP based on one of these heuristics named Local Clustering Optimization (LCO). LCO is a metaheuristic proposed by Furukawa at el. to give an accurate solution for large scale problems in a reasonable time. However, conventional LCO-based heuristics for the TSP is not suited to solving asymmetric instances. The proposed method iteratively adopts tour construction heuristics such as nearest neighbor and random insertion to get an accurate solution more efficiently for the both asymmetric and symmetric TSP. The proposed method and other heuristics are applied to benchmark instances from TSPLIB and randomly generated instances. The experiment shows the proposed method is superior to conventional LCO in terms of accuracy of the solution. However, the proposed method is inefficient for instances which are not close to Euclidean due to the same property of insertion heuristic.
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ASME/ISCIE 2012 International Symposium on Flexible Automation
June 18–20, 2012
St. Louis, Missouri, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4511-0
PROCEEDINGS PAPER
A New Heuristic for Traveling Salesman Problem Based on LCO Available to Purchase
Soichiro Yokoyama,
Soichiro Yokoyama
Hokkaido University, Sapporo, Hokkaido, Japan
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Ikuo Suzuki,
Ikuo Suzuki
Hokkaido University, Sapporo, Hokkaido, Japan
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Masahito Yamamoto,
Masahito Yamamoto
Hokkaido University, Sapporo, Hokkaido, Japan
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Masashi Furukawa
Masashi Furukawa
Hokkaido University, Sapporo, Hokkaido, Japan
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Soichiro Yokoyama
Hokkaido University, Sapporo, Hokkaido, Japan
Ikuo Suzuki
Hokkaido University, Sapporo, Hokkaido, Japan
Masahito Yamamoto
Hokkaido University, Sapporo, Hokkaido, Japan
Masashi Furukawa
Hokkaido University, Sapporo, Hokkaido, Japan
Paper No:
ISFA2012-7227, pp. 345-350; 6 pages
Published Online:
July 23, 2013
Citation
Yokoyama, S, Suzuki, I, Yamamoto, M, & Furukawa, M. "A New Heuristic for Traveling Salesman Problem Based on LCO." Proceedings of the ASME/ISCIE 2012 International Symposium on Flexible Automation. ASME/ISCIE 2012 International Symposium on Flexible Automation. St. Louis, Missouri, USA. June 18–20, 2012. pp. 345-350. ASME. https://doi.org/10.1115/ISFA2012-7227
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