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Journal of Applied Mathematics
Volume 2014, Article ID 372768, 6 pages
http://dx.doi.org/10.1155/2014/372768
Research Article

Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems

1Department of Computer Science, Xiamen University, Xiamen 361005, China
2Shenzhen Research Institute of Xiamen University, Shenzhen 518057, China
3Department of Mechanical and Electrical Engineering, Institute of Physical and Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China

Received 4 December 2013; Revised 2 March 2014; Accepted 2 March 2014; Published 27 March 2014

Academic Editor: Ying Hu

Copyright © 2014 Xiangrong Liu 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 [5 citations]

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

  • Ali Maroosi, and Ravie Chandren Muniyandi, “Accelerated execution of P systems with active membranes to solve the N-queens problem,” Theoretical Computer Science, 2014. View at Publisher · View at Google Scholar
  • Xingyi Zhang, Bangju Wang, Zhuanlian Ding, Jin Tang, and Juanjuan He, “Implementation of Membrane Algorithms on GPU,” Journal of Applied Mathematics, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • Xiangrong Liu, Juan Suo, Stephen C.H. Leung, Juan Liu, and Xiangxiang Zeng, “The power of time-free tissue P systems: Attacking NP-complete problems,” Neurocomputing, 2015. View at Publisher · View at Google Scholar
  • Hui Zhang, Kai Zhang, Zheng Kou, Xiaoli Qiang, and Wenfei Lan, “Application of DNA self-assembly for maximum matching problem,” Journal of Computational and Theoretical Nanoscience, vol. 13, no. 6, pp. 3562–3567, 2016. View at Publisher · View at Google Scholar
  • Zhihua Chen, Yang Zhao, Zheng Kou, Zhuo Wang, and Hanggao Li, “A novel method for the construction of evolutionary tree based on expectation maximization algorithm,” Journal of Computational and Theoretical Nanoscience, vol. 13, no. 6, pp. 3799–3803, 2016. View at Publisher · View at Google Scholar