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A Simulated Annealing Algorithm for the Circles Packing Problem

  • Defu Zhang
  • Wenqi Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3036)

Abstract

We present a heuristic simulated annealing algorithm to solve the circles packing problem. For constructing a special neighborhood and jumping out of the local minimum trap, some effective heuristic strategies are presented. These strategies are from nature and can allow the iterative process to converge fast. The HSA algorithm inherits the merit of the simulated annealing algorithm, and can avoid the disadvantage of blind search in the simulated annealing algorithm to some extent according to the special neighborhood. The computational results show that the performance of the presented algorithm outperforms that of the quasi-physical quasi-human algorithm.

Keywords

Simulated Annealing Algorithm Packing Problem Heuristic Strategy Special Neighborhood Blind Search 
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 Berlin Heidelberg 2004

Authors and Affiliations

  • Defu Zhang
    • 1
  • Wenqi Huang
    • 2
  1. 1.Department of Computer ScienceXiamen UniversityChina
  2. 2.School of Computer ScienceHuazhong University of Science and TechnologyWuhanChina

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