An effective hybrid immune algorithm for solving the distributed permutation flow-shop scheduling problem-Reference-Cited by-同舟云学术

An effective hybrid immune algorithm for solving the distributed permutation flow-shop scheduling problem

Published:2013-10-04 Issue:9 Volume:46 Page:1269-1283
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Xu Ye,Wang Ling,Wang Shengyao,Liu Min

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

http://www.tandfonline.com/doi/pdf/10.1080/0305215X.2013.827673

Reference46 articles.

1. An artificial immune algorithm for the flexible job-shop scheduling problem

2. An adaptive genetic algorithm with dominated genes for distributed scheduling problems

3. Solving distributed FMS scheduling problems subject to maintenance: Genetic algorithms approach

4. An ant colony optimization heuristic for an integrated production and distribution scheduling problem

5. NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems

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