A Study on Facility Layout Using Evolution Strategies in Case of Different Shapes and Areas of Facilities

Evolution Strategies have more excellent property than the other existing metaheuristics in a sense of easiness of coding and its manageability of self-adaptive strategy, Hirabayashi et al. proposed a facility layout method using Evolution Strategies for obtaining near optimum solutions efficiently. The shapes of all facilities were, however, assumed to be square. This paper proposes a facility layout method using Evolution Strategies for the case of different shapes and areas of facilities. Some numerical experiments made it clear that the proposed method provides solutions whose average relative error to the optimum or near-optimum solutions obtained by CPLEX are less than 2%, reducing computation time drastically.