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Bidirectional Dynamic Diversity Evolutionary Algorithm for Constrained Optimization
Joint Authors
Shao, Cheng
An, Yi
Gao, Weishang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Evolutionary algorithms (EAs) were shown to be effective for complex constrained optimization problems.
However, inflexible exploration-exploitation and improper penalty in EAs with penalty function would lead to losing the global optimum nearby or on the constrained boundary.
To determine an appropriate penalty coefficient is also difficult in most studies.
In this paper, we propose a bidirectional dynamic diversity evolutionary algorithm (Bi-DDEA) with multiagents guiding exploration-exploitation through local extrema to the global optimum in suitable steps.
In Bi-DDEA potential advantage is detected by three kinds of agents.
The scale and the density of agents will change dynamically according to the emerging of potential optimal area, which play an important role of flexible exploration-exploitation.
Meanwhile, a novel double optimum estimation strategy with objective fitness and penalty fitness is suggested to compute, respectively, the dominance trend of agents in feasible region and forbidden region.
This bidirectional evolving with multiagents can not only effectively avoid the problem of determining penalty coefficient but also quickly converge to the global optimum nearby or on the constrained boundary.
By examining the rapidity and veracity of Bi-DDEA across benchmark functions, the proposed method is shown to be effective.
American Psychological Association (APA)
Gao, Weishang& Shao, Cheng& An, Yi. 2013. Bidirectional Dynamic Diversity Evolutionary Algorithm for Constrained Optimization. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1010668
Modern Language Association (MLA)
Gao, Weishang…[et al.]. Bidirectional Dynamic Diversity Evolutionary Algorithm for Constrained Optimization. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1010668
American Medical Association (AMA)
Gao, Weishang& Shao, Cheng& An, Yi. Bidirectional Dynamic Diversity Evolutionary Algorithm for Constrained Optimization. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1010668
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010668