2025/11/8
Hassan Ismkhan

Hassan Ismkhan

Academic rank: Assistant Professor
ORCID:
Education: MSc.
H-Index:
Faculty: Faculty of Engineering
ScholarId:
E-mail: H.Ismkhan [at] ubonab.ac.ir
ScopusId:
Phone: 04137745000-1620
ResearchGate:

Research

Title
Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
Type
Presentation
Keywords
GLS; Heuristic crossover; Local search
Year
2010
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.