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The Scientific World Journal
Volume 2014, Article ID 215472, 16 pages
http://dx.doi.org/10.1155/2014/215472
Research Article

An Adaptive Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution for Global Optimization

1China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China
2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
3School of Mechanic and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China

Received 30 September 2013; Accepted 17 November 2013; Published 9 February 2014

Academic Editors: T. Chen, Q. Cheng, and J. Yang

Copyright © 2014 Xiaobing Yu 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.

How to Cite this Article

Xiaobing Yu, Jie Cao, Haiyan Shan, Li Zhu, and Jun Guo, “An Adaptive Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution for Global Optimization,” The Scientific World Journal, vol. 2014, Article ID 215472, 16 pages, 2014. https://doi.org/10.1155/2014/215472.