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An Enhanced Heuristic Searching Algorithm for Complicated Constrained Optimization Problems

  • Feng Yu
  • Yanjun Li
  • Tie-Jun Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

In many complicated constrained optimization problems, intelligent searching technique based algorithms are very inefficient even to get a feasible solution. This paper presents an enhanced heuristic searching algorithm to solve this kind of problems. The proposed algorithm uses known feasible solutions as heuristic information, then orients and shrinks the search spaces towards the feasible set. It is capable of improving the search performance significantly without any complicated and specialized operators. Benchmark problems are tested to validate the effectiveness of the proposed algorithm.

Keywords

Feasible Solution Candidate Solution Benchmark Problem Heuristic Information Feasible Space 
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 2006

Authors and Affiliations

  • Feng Yu
    • 1
  • Yanjun Li
    • 1
  • Tie-Jun Wu
    • 1
  1. 1.National Laboratory of Industrial Control Technology, Institute of Intelligent Systems & Decision MakingZhejiang UniversityHangzhouChina

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