Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

A Dynamic Multimodal Differential Evolution Algorithm

Authors
XiaoGang Dong, Qing Xie, Lin Ke
Corresponding Author
XiaoGang Dong
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.101How to use a DOI?
Keywords
Differential evolution, Convergence rate, Mutation Operator
Abstract
Differential evolution algorithm in solving complex function optimization problems, the problems of convergence rate and precision is not high. At the same time, there is a big difference in the performance of evolutionary algorithms for solving the different types of optimization problems. To solve above two problems, this paper proposes a dynamic multimodal differential evolution algorithm. Firstly, the dynamically population is used to improve the exploration ability of algorithms; In addition, the algorithm uses Four different types of mutation operator to Produce among individuals, choose the best among individuals to enter the next iteration , improved the algorithms's performance of solving different types of optimization problems. Through a variety of BenchMark functions to the algorithm simulation experiment, and comparing and several other classical differential evolution algorithm, show that this algorithm has better optimization performance.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.101How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - XiaoGang Dong
AU  - Qing Xie
AU  - Lin Ke
PY  - 2014/01
DA  - 2014/01
TI  - A Dynamic Multimodal Differential Evolution Algorithm
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.101
DO  - https://doi.org/10.2991/ccit-14.2014.101
ID  - Dong2014/01
ER  -