A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem

Author:

Wang Ling,Wang Shengyao,Xu Ye,Zhou Gang,Liu Min

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference30 articles.

1. Baluja, S. (1994). Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical report CMU-CS-94-163. Pittsburgh, PA: Carnegie Mellon University.

2. Baluja, S., & Davies, S. (1997). Using optimal dependency-trees for combinatorial optimization: Learning the structure of the search space. In Proc. of the 14th int. conf. on machine learning, San Francisco (pp. 30–38).

3. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Annals of Operations Research,1993

4. Job-shop scheduling with multi-purpose machines;Bruker;Computing,1990

5. Guidelines for developing effective estimation of distribution algorithms in solving single machine scheduling problems;Chen;Expert Systems with Applications,2010

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