عنوان	Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	GLS; Heuristic crossover; Local search
چکیده	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.
پژوهشگران	حسن اسمخان (نفر اول)، کامران زمانی فر (نفر دوم)