Project Scheduling Using Hybrid Genetic Algorithm with Fuzzy Logic Controller in SCM Environment

作     者：Mitsuo Gen KwanWoo Kim Genji Yamazaki 

作者机构：Graduate School of Information Production & Systems Waseda UniversityDepartment of Intelligent Systems Tokyo Metropolitan Institute of TechnologyDepartment of Intelligent Systems Tokyo Metropolitan Institute of Technology Kitakyushu 808-0135 Japan Hino-city Tokyo 190-0065 Japan Hino-city Tokyo 190-0065 Japan 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2003年第8卷第1期

页      面：19-29页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

主　　题：resource-constrained project scheduling problem (rcPSP) priority rule method (PRM) hybrid genetic algorithm (hGA) fuzzy logic controller (FLC) 

摘      要：In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We develop a hybrid genetic algorithm (hGA) with a fuzzy logic controller (FLC) to solve the rcPSP which is the well known NP-hard problem. This new approach is based on the design of genetic operators with FLC through initializing the serial method which is superior for a large rcPSP scale. For solving these rcPSP problems, we first demonstrate that our hGA with FLC (flc-hGA) yields better results than several heuristic procedures presented in the literature. We have revealed a fact that flc-hGA has the evolutionary behaviors of average fitness better than hGA without FLC.