A block based estimation of distribution algorithm using bivariate model for scheduling problems-Reference-Cited by-同舟云学术

A block based estimation of distribution algorithm using bivariate model for scheduling problems

Published:2013-10-06 Issue:6 Volume:18 Page:1177-1188
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chang Pei-Chann,Chen Meng-Hui

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-013-1136-1.pdf

Reference27 articles.

1. Ahmadizar F (2012) A new ant colony algorithm for makespan minimization in permutation flow shops. Comput Ind Eng 63(2):355–361

2. Bagchi TP (1999) Multiobjective Scheduling by Genetic Algorithms. Kluwer, Boston

3. Baker KR (1974) Introduction to sequencing and scheduling. Wiley, New York

4. Baker KR (1975) A comparative study of flow-shop algorithms. Oper Res 23(1):62–73

5. Baluja S (1994) Population based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Technical Report No. CMU-CS-94-163, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

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