Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2013, Article ID 469723, 10 pages
http://dx.doi.org/10.1155/2013/469723
Research Article

Quantum Behaved Particle Swarm Optimization with Neighborhood Search for Numerical Optimization

1Department of Fundamental Courses, Air Force Aviation University, Changchun 130022, China
2Department of Aviation Survival, Air Force Aviation University, Changchun 130022, China

Received 22 April 2013; Accepted 13 September 2013

Academic Editor: Yang Xu

Copyright © 2013 Xiao Fu 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.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Weishang Gao, Cheng Shao, and Yi An, “Bidirectional Dynamic Diversity Evolutionary Algorithm for Constrained Optimization,” Mathematical Problems in Engineering, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • Cong Jin, and Shu-Wei Jin, “Automatic image annotation using feature selection based on improving quantum particle swarm optimization,” Signal Processing, vol. 109, pp. 172–181, 2015. View at Publisher · View at Google Scholar
  • Shuihua Wang, Xingxing Zhou, Guangshuai Zhang, Genlin Ji, Jiquan Yang, Zheng Zhang, Zeyuan Lu, and Yudong Zhang, “Cluster analysis by variance ratio criterion and quantum-behaved PSO,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9483, pp. 285–293, 2015. View at Publisher · View at Google Scholar
  • Yudong Zhang, Shuihua Wang, and Genlin Ji, “A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications,” Mathematical Problems in Engineering, vol. 2015, pp. 1–38, 2015. View at Publisher · View at Google Scholar
  • Yudong Zhang, Genlin Ji, Jiquan Yang, Shuihua Wang, Zhengchao Dong, Preetha Phillips, and Ping Sun, “Preliminary research on abnormal brain detection by wavelet-energy and quantum- behaved PSO,” Technology and Health Care, vol. 24, no. s2, pp. S641–S649, 2016. View at Publisher · View at Google Scholar
  • Joe Wright, and Ivan Jordanov, “Convergence Properties of Quantum Evolutionary Algorithms on High Dimension Problems,” Neurocomputing, 2017. View at Publisher · View at Google Scholar
  • Johan Gielis, Luciano Mescia, Pietro Bia, and Diego Caratellipp. 69–100, 2017. View at Publisher · View at Google Scholar
  • Abdullah Iliyasu, and Chastine Fatichah, “A Quantum Hybrid PSO Combined with Fuzzy k-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection,” Sensors, vol. 17, no. 12, pp. 2935, 2017. View at Publisher · View at Google Scholar
  • Joe Wright, and Ivan Jordanov, “Quantum inspired evolutionary algorithms with improved rotation gates for real-coded synthetic and real world optimization problems,” Integrated Computer-Aided Engineering, vol. 24, no. 3, pp. 203–223, 2017. View at Publisher · View at Google Scholar
  • Gregory Gelly, and Jean-Luc Gauvain, “Optimization of RNN-Based Speech Activity Detection,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 3, pp. 646–656, 2018. View at Publisher · View at Google Scholar