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Mathematical Problems in Engineering
Volume 2017, Article ID 2462891, 14 pages
https://doi.org/10.1155/2017/2462891
Research Article

An Improved Hybrid Algorithm Based on Biogeography/Complex and Metropolis for Many-Objective Optimization

1Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200072, China
2Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China
3School of Materials, Manchester University, Sackville St Blg, Manchester M13 9PL, UK
4Department of Production and Quality Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway

Correspondence should be addressed to Chen Wang; nc.ude.tauh@11009002

Received 8 December 2016; Revised 17 January 2017; Accepted 29 January 2017; Published 30 March 2017

Academic Editor: Thomas Hanne

Copyright © 2017 Chen 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.

Citations to this Article [3 citations]

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

  • Avinash Chandra Pandey, Raju Pal, and Ankur Kulhari, “Unsupervised data classification using improved biogeography based optimization,” International Journal of System Assurance Engineering and Management, 2017. View at Publisher · View at Google Scholar
  • Nantiwat Pholdee, and Sujin Bureerat, “Estimation of Distribution Algorithm Using Correlation between Binary Elements: A New Binary-Code Metaheuristic,” Mathematical Problems in Engineering, vol. 2017, pp. 1–15, 2017. View at Publisher · View at Google Scholar
  • Chen Wang, Baorui Li, Yi Wang, Kesheng Wang, and Shenghuai Wang, “A Modified Teaching and Learning Based Optimization Algorithm and Application in Deep Neural Networks Optimization for Electro-Discharge Machining,” Advanced Manufacturing and Automation VII, vol. 451, pp. 605–615, 2018. View at Publisher · View at Google Scholar