Application Progress of Genetic Algorithm for Economic Lot Sizing Problem

Application progress of genetic algorithm is reviewed systemically from three aspects of algorithm parameters setting, local search capabilities and constraint handling techniques which have to be solved in the application. Then application status of genetic algorithm for economic lot sizing problem is surveyed. Finally, the future work is presented.