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Computational Intelligence and Neuroscience
Volume 2018, Article ID 9167414, 27 pages
https://doi.org/10.1155/2018/9167414
Research Article

Modified Backtracking Search Optimization Algorithm Inspired by Simulated Annealing for Constrained Engineering Optimization Problems

1School of Information and Mathematics, Yangtze University, Jingzhou, Hubei 434023, China
2School of Software, East China Jiaotong University, Nanchang, Jiangxi 330013, China

Correspondence should be addressed to Zhongbo Hu; moc.621@ddbzuh

Received 10 October 2017; Accepted 20 December 2017; Published 13 February 2018

Academic Editor: Silvia Conforto

Copyright © 2018 Hailong Wang 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

Hailong Wang, Zhongbo Hu, Yuqiu Sun, Qinghua Su, and Xuewen Xia, “Modified Backtracking Search Optimization Algorithm Inspired by Simulated Annealing for Constrained Engineering Optimization Problems,” Computational Intelligence and Neuroscience, vol. 2018, Article ID 9167414, 27 pages, 2018. https://doi.org/10.1155/2018/9167414.