Examination of parameters used in ant colony algorithm over truss optimization

Metaheuristic optimization techniques have been used to solve engineering problems with an increasing speed for the last 30 years. Most of these algorithms developed by imitating a process in nature. In this study, ant colony algorithm inspired natural life ants is discussed. The requires some parameters perform optimization, as other meta-heuristic algorithms. aim study examine effect values on results. For purpose, exemplary problem, was carried out truss systems, one constrained frequently discussed literature. Appropriate optimum design such number ants, pheromone update coefficient and penalty were investigated using coded computer program. As result relevant determined points be considered selection specified.