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/).
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 -