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A Novel Ranking Method Based on Subjective Probability Theory for Evolutionary Multiobjective Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Most of the engineering problems are modeled as evolutionary multiobjective optimization problems, but they always ask for only one best solution, not a set of Pareto optimal solutions.
The decision maker's subjective information plays an important role in choosing the best solution from several Pareto optimal solutions.
Generally, the decision-making processing is implemented after Pareto optimality.
In this paper, we attempted to incorporate the decider's subjective sense with Pareto optimality for chromosomes ranking.
A new ranking method based on subjective probability theory was thus proposed in order to explore and comprehend the true nature of the chromosomes on the Pareto optimal front.
The properties of the ranking rule were proven, and its transitivity was presented as well.
Simulation results compared the performance of the proposed ranking approach with the Pareto-based ranking method for two multiobjective optimization cases, which demonstrated the effectiveness of the new ranking approach.
American Psychological Association (APA)
Wei, Shuang& Leung, Henry. 2011. A Novel Ranking Method Based on Subjective Probability Theory for Evolutionary Multiobjective Optimization. Mathematical Problems in Engineering،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-491239
Modern Language Association (MLA)
Wei, Shuang& Leung, Henry. A Novel Ranking Method Based on Subjective Probability Theory for Evolutionary Multiobjective Optimization. Mathematical Problems in Engineering No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-491239
American Medical Association (AMA)
Wei, Shuang& Leung, Henry. A Novel Ranking Method Based on Subjective Probability Theory for Evolutionary Multiobjective Optimization. Mathematical Problems in Engineering. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-491239
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491239