Fitness switching genetic algorithm for solving combinatorial optimization problems with rare feasible solutions-Reference-Cited by-同舟云学术

Fitness switching genetic algorithm for solving combinatorial optimization problems with rare feasible solutions

Published:2016-03-08 Issue:9 Volume:72 Page:3549-3571
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Kim Jun Woo,Kim Soo Kyun

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-016-1687-x.pdf

Reference36 articles.

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5. Dao S, Marian R (2011) Modeling and optimization of precedence-constrained production sequencing and scheduling for multiple production lines using genetic algorithm. Comput Technol Appl 2(6):487–499

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