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Journal of Computer Science and Technology

, Volume 6, Issue 4, pp 305–315 | Cite as

Competition based neural networks for assignment problems

  • Li Tao 
  • Luyuan Fang
Regular Papers

Abstract

Competition based neural networks have been used to solve the generalized assignment problem and the quadratic assignment problem. Both problems are very difficult and are ε approximation complete. The neural network approach has yielded highly competitive performance and good performance for the quadratic assignment problem. These neural networks are guaranteed to produce feasible solutions.

Keywords

Neural Network Feasible Solution Energy Function Assignment Problem Combinatorial Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Science Press, Beijing China and Allerton Press Inc. 1991

Authors and Affiliations

  • Li Tao 
    • 1
  • Luyuan Fang
    • 2
  1. 1.Department of Computer ScienceMonash UniversityClaytonAustralia
  2. 2.Department of Computer ScienceFlinders University of South AustraliaBedford ParkAustralia

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