Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

Elite-Guiding Binary Differential Evolution

Authors
Gening Xu, Xingfeng Wang
Corresponding Author
Gening Xu
Available Online December 2015.
DOI
10.2991/icmse-15.2015.155How to use a DOI?
Keywords
differential evolution; discrete variables; elite-guiding.
Abstract

Differential evolution (DE) is an algorithm highly effective in solving problems with continuous variables while not applicable to problems with discrete variables. To overcome this disadvantage an elite-guiding binary differential evolution (EGBDE) is proposed. Inspired by the mutation with GA which could be dominated by the genes of the fittest chromosomes, a similar process is added to replace the original mutation of DE. Through simulations of test functions and Knapsack Problem (KP) EGBDE is proved to be both feasible and efficient in optimizations of problems with continuous and discrete variables.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/icmse-15.2015.155
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.155How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gening Xu
AU  - Xingfeng Wang
PY  - 2015/12
DA  - 2015/12
TI  - Elite-Guiding Binary Differential Evolution
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 860
EP  - 865
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.155
DO  - 10.2991/icmse-15.2015.155
ID  - Xu2015/12
ER  -