# Using Genetic Algorithm with Combinational Crossover to Solve Travelling Salesman Problem

### Ammar Al-Dallal

#### 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 Harvard Style

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

#### in Bibtex Style

@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},

}

#### in EndNote Style

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