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Author: Ammar Al-Dallal

Affiliation: Ahlia University, Bahrain

ISBN: 978-989-758-157-1

Keyword(s): Genetic Algorithm, Travelling Salesman Problem (TSP), Crossover.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: This paper proposes a new solution for Traveling Salesman Problem (TSP) using genetic algorithm. A combinational crossover technique is employed in the search for optimal or near-optimal TSP solutions. It is based upon chromosomes that utilise the concept of heritable building blocks. Moreover, generation of a single offspring, rather than two, per pair of parents, allows the system to generate high performance chromosomes. This solution is compared with the well performing Ordered Crossover (OX). Experimental results demonstrate that, due to the well structured crossover technique, has enhanced performance.

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Paper citation in several formats:
Al-Dallal A. (2015). Using Genetic Algorithm with Combinational Crossover to Solve Travelling Salesman Problem.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 149-156. DOI: 10.5220/0005590201490156

@conference{ecta15,
author={Ammar Al-Dallal},
title={Using Genetic Algorithm with Combinational Crossover to Solve Travelling Salesman Problem},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={149-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005590201490156},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Using Genetic Algorithm with Combinational Crossover to Solve Travelling Salesman Problem
SN - 978-989-758-157-1
AU - Al-Dallal A.
PY - 2015
SP - 149
EP - 156
DO - 10.5220/0005590201490156

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