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Project scheduling using hybrid genetic algorithm with fuzzy logic controller in SCM environment

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3 Author(s)
Gen, Mitsuo ; Graduate School of Information, Production & Systems, Waseda University, Kitakyushu 808-0135, Japan ; Kim, KwanWoo ; Yamazaki, Genji

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.

Published in:

Tsinghua Science and Technology  (Volume:8 ,  Issue: 1 )