Using Ants as a Genetic Crossover Operator in GLS to Solve STSP

Published 12 Nov 2014 in cs.NE | (1411.3277v1)

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.

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Authors (1)

Hassan Ismkhan

Citations (9)

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