An optimization technique: Storm-association approach

Cheng Hsiung Chiang, Liang-Hsuan Chen

Research output: Contribution to journalConference article

Abstract

This paper presents an optimization approach from the viewpoints of psychology and artificial intelligence. The new approach, namely storm-association approach, combines two premier manners, the brainstorm and association, originated form psychology aspects. Also, the actual algorithm integrates the advantages of two optimization methods, i.e. genetic algorithm and simulated annealing. The proposed approach not only can avoid the local optimum so as to reach the global optimum but also can be employed to produce some creative solutions. The reliability optimization problems are employed to demonstrate the proposed approach, and the numerical results show that this approach is more efficient than the genetic algorithm and simulated annealing.

Original languageEnglish
Pages (from-to)3988-3993
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
Publication statusPublished - 2003 Nov 24
EventSystem Security and Assurance - Washington, DC, United States
Duration: 2003 Oct 52003 Oct 8

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Simulated annealing
Genetic algorithms
Artificial intelligence

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

Cite this

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An optimization technique : Storm-association approach. / Chiang, Cheng Hsiung; Chen, Liang-Hsuan.

In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, 24.11.2003, p. 3988-3993.

Research output: Contribution to journalConference article

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