Cloud Particles Differential Evolution Algorithm: A Novel Optimization Method for Global Numerical Optimization
Joint Authors
Hei, Xinhong
Jiang, Qiaoyong
Li, Wei
Wang, Bin
Wang, Lei
Yao, Quanzhu
Yu, Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-36, 36 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-06
Country of Publication
Egypt
No. of Pages
36
Main Subjects
Abstract EN
We propose a new optimization algorithm inspired by the formation and change of the cloud in nature, referred to as Cloud Particles Differential Evolution (CPDE) algorithm.
The cloud is assumed to have three states in the proposed algorithm.
Gaseous state represents the global exploration.
Liquid state represents the intermediate process from the global exploration to the local exploitation.
Solid state represents the local exploitation.
The best solution found so far acts as a nucleus.
In gaseous state, the nucleus leads the population to explore by condensation operation.
In liquid state, cloud particles carry out macrolocal exploitation by liquefaction operation.
A new mutation strategy called cloud differential mutation is introduced in order to solve a problem that the misleading effect of a nucleus may cause the premature convergence.
In solid state, cloud particles carry out microlocal exploitation by solidification operation.
The effectiveness of the algorithm is validated upon different benchmark problems.
The results have been compared with eight well-known optimization algorithms.
The statistical analysis on performance evaluation of the different algorithms on 10 benchmark functions and CEC2013 problems indicates that CPDE attains good performance.
American Psychological Association (APA)
Li, Wei& Wang, Lei& Yao, Quanzhu& Jiang, Qiaoyong& Yu, Lei& Wang, Bin…[et al.]. 2015. Cloud Particles Differential Evolution Algorithm: A Novel Optimization Method for Global Numerical Optimization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-36.
https://search.emarefa.net/detail/BIM-1073982
Modern Language Association (MLA)
Li, Wei…[et al.]. Cloud Particles Differential Evolution Algorithm: A Novel Optimization Method for Global Numerical Optimization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-36.
https://search.emarefa.net/detail/BIM-1073982
American Medical Association (AMA)
Li, Wei& Wang, Lei& Yao, Quanzhu& Jiang, Qiaoyong& Yu, Lei& Wang, Bin…[et al.]. Cloud Particles Differential Evolution Algorithm: A Novel Optimization Method for Global Numerical Optimization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-36.
https://search.emarefa.net/detail/BIM-1073982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073982