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An effective teaching–learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time

  • Published:2015-01 Issue: Volume:148 Page:260-268
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Xu Ye,Wang Ling,Wang Sheng-yao,Liu Min

Funder

the National Key Basic Research and Development Program of China

National Natural Science Foundation of China

Doctoral Program Foundation of Institutions of Higher Education of China

the National Science and Technology Major Project of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. An effective architecture for learning and evolving flexible job-shop schedules;Ho;Eur. J. Oper. Res.,2007

2. Job-shop scheduling with multi-purpose machines;Brucker;Computing,1990

3. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Ann. Oper. Res.,1993

4. An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search;Dauzère-Pérès;Ann. Oper. Res.,1997

5. Effective neighborhood functions for the flexible job shop problem;Gambardella;J. Sched.,1996
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