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The Scientific World Journal
Volume 2014, Article ID 487069, 9 pages
http://dx.doi.org/10.1155/2014/487069
Research Article

An Improved Physarum polycephalum Algorithm for the Shortest Path Problem

1School of Computer and Information Science, Southwest University, Chongqing 400715, China
2Unconventional Computing Center, University of the West of England, Bristol BS16 1QY, UK
3Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong
4School of Engineering, Vanderbilt University, Nashville, TN 37235, USA

Received 8 January 2014; Revised 13 February 2014; Accepted 14 February 2014; Published 25 March 2014

Academic Editor: Nirupam Chakraborti

Copyright © 2014 Xiaoge Zhang 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 [6 citations]

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

  • Hongping Wang, Xi Lu, Xiaoge Zhang, Qing Wang, and Yong Deng, “A Bio-Inspired Method for the Constrained Shortest Path Problem,” The Scientific World Journal, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Alice Dimonte, Tatiana Berzina, and Victor Erokhin, “Basic transitions of physarum polycephalum,” Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015, pp. 599–606, 2015. View at Publisher · View at Google Scholar
  • Ningkui Wang, Zhixuan Wang, Xianming Liu, and Daijun Wei, “Optimal route selection based on Monte Carlo method and adaptive amoeba algorithm under uncertain environment,” International Journal of Parallel, Emergent and Distributed Systems, pp. 1–15, 2017. View at Publisher · View at Google Scholar
  • Ishaan R. Kale, and Anand J. Kulkarni, “Cohort intelligence algorithm for discrete and mixed variable engineering problems,” International Journal of Parallel, Emergent and Distributed Systems, pp. 1–36, 2017. View at Publisher · View at Google Scholar
  • Aram Vroom, Juan Manuel Romero Martin, Marilena Di Carlo, and Massimiliano Vasile, “Optimal trajectory planning for multiple asteroid tour mission by means of an incremental bio-inspired tree search algorithm,” 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, 2017. View at Publisher · View at Google Scholar
  • Vinay Arora, Rajesh Bhatia, and Maninder Singh, “Synthesizing test scenarios in UML activity diagram using a bio-inspired approach,” Computer Languages, Systems and Structures, vol. 50, pp. 1–19, 2017. View at Publisher · View at Google Scholar