Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Research on Mutation Parameters of Cloud Evolutionary Strategy

Authors
Ziqiang Luo, Peng Cao, Bin Wen, Yu Zhang
Corresponding Author
Ziqiang Luo
Available Online October 2015.
DOI
10.2991/icmii-15.2015.26How to use a DOI?
Keywords
cloud model; heavy-tailed distribution; evolutionary strategy; mutation parameter.
Abstract

The cloud evolutionary strategy is a novel rapid evolutionary algorithm based on the outstanding characteristics of the cloud model on the process of transforming a qualitative concept to a set of quantitative numerical values. The paper conducts the mathematical analysis of cloud distribution with the change of mutation parameters, and studies some measures of dispersion of cloud distribution. This will be conducive to the further development and wide application of cloud evolutionary strategy.

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 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
10.2991/icmii-15.2015.26How 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  - Ziqiang Luo
AU  - Peng Cao
AU  - Bin Wen
AU  - Yu Zhang
PY  - 2015/10
DA  - 2015/10
TI  - Research on Mutation Parameters of Cloud Evolutionary Strategy
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 140
EP  - 143
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.26
DO  - 10.2991/icmii-15.2015.26
ID  - Luo2015/10
ER  -