Using Ants as a Genetic Crossover Operator in GLS to Solve STSP, By Hassan Ismkhan

Research

Title	Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
Type	Presentation
Keywords	GLS; Heuristic crossover; Local search
Researchers	Hassan Ismkhan، Kamran Zamanifar

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 ACA’s ants as operate according to defined crossover operator then put forward our GLS that uses these ants to solve Symmetric TSP (STSP) instances.