The 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems 6th - 7th December 2004. Cairns, Australia.
  • Home
    • » Accepted Paper

Accepted Paper:


Title: Multistage-based genetic algorithm for flexible job-shop scheduling problem
Abstract: Flexible Job-shop Scheduling Problem is expanded from the traditional Job-shop Scheduling Problem, which possesses wider availability of machines for all the operations. Considering the two states of the problem, two definitions (total and partial) of flexibility are offered to separate the different availability information of machines. In this paper, a new multistage operation-based representation is proposed to make the chromosome simpler. By using this approach, all the crossover and mutation method can be applied to this optimal strategy. The efficiency has been improved after using the new representation, and also the objective values outperform others.
Authors: Haipeng Zhang and Mitsuo Gen
Affiliation: Graduate School of Information, Production & Systems, Waseda University
Topics: *
Full paper
Presentation time

Back to Accepted Papers