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A Performance Comparison of Chaotic Simulated Annealing Models for Solving the N-queen Problem

  • Terence Kwok
  • Kate A. Smith
Conference paper

Abstract

Chaotic neural network models employing two chaotic simulated annealing (CSA) schemes, one with decaying self-couplings and the other with a decaying time-step, are used to solve the N-queen problem. Their optimisation performances are compared in terms of feasibility, efficiency, robustness and scalability in a two-parameter domain chosen for each model. Computational results show that the decaying self-coupling approach offers better feasibility, robustness and scalability, with efficiency being comparable for the two models. Correlation between feasibility and efficiency illustrates some chaotic search characteristics common to both models.

Keywords

Travelling Salesman Problem Constraint Satisfaction Problem Hopfield Neural Network Chaotic Neural Network Hopfield Network 
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

© Springer-Verlag London 2000

Authors and Affiliations

  • Terence Kwok
    • 1
  • Kate A. Smith
    • 1
  1. 1.School of Business Systems, Faculty of Information TechnologyMonash UniversityClaytonAustralia

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