Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
Neural and Evolutionary Computing
2014-11-13 v1
Abstract
Ant Colony Algorithm (ACA) and Genetic Local Search (GLS) are two optimization algorithms that have been successfully applied to the Traveling Salesman Problem (TSP). In this paper we define new crossover operator then redefine ACAs ants as operate according to defined crossover operator then put forward our GLS that uses these ants to solve Symmetric TSP (STSP) instances.
Cite
@article{arxiv.1411.3277,
title = {Using Ants as a Genetic Crossover Operator in GLS to Solve STSP},
author = {Hassan Ismkhan},
journal= {arXiv preprint arXiv:1411.3277},
year = {2014}
}
Comments
2010 International Conference of Soft Computing and Pattern Recognition