COOPERATING OF LOCAL SEARCHES BASED HYPERHEURISTIC APPROACH FOR SOLVING TRAVELING SALESMAN PROBLEM

Montazeri Mitra, Abbas Bahrololoum, Hossein Nezamabadi-pour, Mahdieh Soleymani Baghshah, Mahdieh Montazeri

2011

Abstract

Until now various heuristic optimization methods have been developed for solving NP-Hard problems. These methods by trading off between exploration and exploitation attempt to find an optimum solution. In this paper, we introduce a new optimization algorithm based on hyper-heuristic for solving TSP. A hyper-heuristic approach has two layers. In low level, we have six local searches and in high level we use Genetic Algorithm. Genetic Algorithm corporate local searches efficiency. The proposed method has high ability to searching in solution space and explores and exploit appropriately. This method exploits space depended on characteristics of the region of the solution space that is currently under exploration and also the performance history of local searches. The proposed method is used to solve TSP and compared with well-known methods. The experimental results confirm the efficiency of the proposed method.

Paper Citation

in Harvard Style

Mitra M., Bahrololoum A., Nezamabadi-pour H., Soleymani Baghshah M. and Montazeri M. (2011). COOPERATING OF LOCAL SEARCHES BASED HYPERHEURISTIC APPROACH FOR SOLVING TRAVELING SALESMAN PROBLEM . In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 329-332. DOI: 10.5220/0003675103290332

in Bibtex Style

@conference{ecta11,
author={Montazeri Mitra and Abbas Bahrololoum and Hossein Nezamabadi-pour and Mahdieh Soleymani Baghshah and Mahdieh Montazeri},
title={COOPERATING OF LOCAL SEARCHES BASED HYPERHEURISTIC APPROACH FOR SOLVING TRAVELING SALESMAN PROBLEM},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={329-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003675103290332},
isbn={978-989-8425-83-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - COOPERATING OF LOCAL SEARCHES BASED HYPERHEURISTIC APPROACH FOR SOLVING TRAVELING SALESMAN PROBLEM
SN - 978-989-8425-83-6
AU - Mitra M.
AU - Bahrololoum A.
AU - Nezamabadi-pour H.
AU - Soleymani Baghshah M.
AU - Montazeri M.
PY - 2011
SP - 329
EP - 332
DO - 10.5220/0003675103290332