标题：A Partheno-Genetic Algorithm for the Economic Lot Scheduling Problem under Power-of-two Policy
作者：Zhao Peixin; Qi Guijie
作者机构：[Zhao Peixin; Qi Guijie] Shandong Univ, Sch Management, Jinan 250100, Peoples R China.
会议名称：1st International Conference on Information Management, Innovation Management and Industrial Engineering
会议日期：DEC 19-21, 2008
来源：PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL III
摘要：The purpose of this paper is to investigate the use of partheno-genetic algorithm for the Economic Lot Scheduling Problem (ELSP) under Power-of-Two (PoT) policy. The ELSP is to find a feasible schedule that allows cyclic production Pattern for each product and such that the sum of the setup and holding costs for all products per unit time is minimized, and, PoT policy requires the replenishment frequency of each item to be a PoT integer. Considering the complexity of this problem, we use improved genetic algorithm that is equipped with a partheno-genetic operators for solving this model. Numerical examples demonstrate that this improved partheno-genetic algorithm is an efficient approach in solving the ELSP under PoT policy.