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AU - 
AB - Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 354523, 12 pages http://dx.doi.org/10.1155/2013/354523 Review Article Bio-Inspired Optimization of Sustainable Energy Systems: A Review 1 1 2 1 Yu-Jun Zheng, Sheng-Yong Chen, Yao Lin, and Wan-Liang Wang College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China CollegeofLifeSciences, Fujian Normal University,Fuzhou, Fujian 350108,China Correspondence should be addressed to Sheng-Yong Chen; sy@ieee.org Received 12 December 2012; Accepted 17 January 2013 Academic Editor: Maurizio Carlini Copyright © 2013 Yu-Jun Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Sustainable energy development always involves complex optimization problems of design, planning, and control, which are oen ft computationally difficult for conventional optimization methods. Fortunately, the continuous advances in artificial intelligence have resulted in an increasing number of heuristic optimization methods for eeff ctively 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 
TI - Bio-Inspired Optimization of Sustainable Energy Systems: A Review
JF - Mathematical Problems in Engineering
DO - 10.1155/2013/354523
DA - 2013-01-01
UR - https://www.deepdyve.com/lp/unpaywall/bio-inspired-optimization-of-sustainable-energy-systems-a-review-47PWveo1Ov
DP - DeepDyve
ER -