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A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems
Joint Authors
Kim, Jinho
Geem, Zong Woo
Kim, Chang Seob
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Economic load dispatch problem is a popular optimization problem in electrical power system field, which has been so far tackled by various mathematical and metaheuristic approaches including Lagrangian relaxation, branch and bound method, genetic algorithm, tabu search, particle swarm optimization, harmony search, and Taguchi method.
On top of these techniques, this study proposes a novel memetic algorithm scheme combining metaheuristic algorithm and gradient-based technique to find better solutions for an economic load dispatch problem with valve-point loading.
Because metaheuristic algorithms have the strength in global search and gradient-based techniques have the strength in local search, the combination approach obtains better results than those of any single approach.
A bench-mark example of 40 generating-unit economic load dispatch problem demonstrates that the memetic approach can further improve the existing best solutions from the literature.
American Psychological Association (APA)
Kim, Jinho& Kim, Chang Seob& Geem, Zong Woo. 2014. A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-506972
Modern Language Association (MLA)
Kim, Jinho…[et al.]. A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-506972
American Medical Association (AMA)
Kim, Jinho& Kim, Chang Seob& Geem, Zong Woo. A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-506972
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506972