摘要：In this paper we provide a metaheuristic method based on Particle Swarm Optimization to solve the uncapacitated Multi Level Lot Sizing Problem. The PSO is based on a cost modification heuristic. Eventually, the final solution is refined with a deterministic local search. The whole method is tested on a set of small and medium size instances of the literature. The global results are promising and we managed to improve the upper bound of one of the instance.
关键词：Multi Level Lot Sizing Problem;Particle Swarm Optimization;Metaheuristic;Local Search
