Bio-Inspired Optimization of Sustainable Energy Systems: A Review
Joint Authors
Wang, Wanliang
Li, Zhao
Zheng, Yujun
Chen, Sheng-yong
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Sustainable energy development always involves complex optimization problems of design, planning, and control, which are often computationally difficult for conventional optimization methods.
Fortunately, the continuous advances in artificial intelligence have resulted in an increasing number of heuristic optimization methods for effectively handling those complicated problems.
Particularly, algorithms that are inspired by the principles of natural biological evolution and/or collective behavior of social colonies have shown a promising performance and are becoming more and more popular nowadays.
In this paper we summarize the recent advances in bio-inspired optimization methods, including artificial neural networks, evolutionary algorithms, swarm intelligence, and their hybridizations, which are applied to the field of sustainable energy development.
Literature reviewed in this paper shows the current state of the art and discusses the potential future research trends.
American Psychological Association (APA)
Zheng, Yujun& Chen, Sheng-yong& Li, Zhao& Wang, Wanliang. 2013. Bio-Inspired Optimization of Sustainable Energy Systems: A Review. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1009115
Modern Language Association (MLA)
Zheng, Yujun…[et al.]. Bio-Inspired Optimization of Sustainable Energy Systems: A Review. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1009115
American Medical Association (AMA)
Zheng, Yujun& Chen, Sheng-yong& Li, Zhao& Wang, Wanliang. Bio-Inspired Optimization of Sustainable Energy Systems: A Review. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1009115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009115