A global optimization method based on simulated annealing and evolutionary strategy

Dar-Yun Chiang, Jausung Moh

研究成果: Conference contribution

摘要

A global optimization method is proposed to improve the conventional method of simulated annealing. By introducing the probability distribution function for the objective function and the concept of stable energy for detecting thermal equilibrium during annealing, the selection of initial temperature and equilibrium criterion becomes easy and effective. Furthermore, the efficiency and robustness of the proposed method is retained by employing the technique of region reduction and an adaptive neighborhood structure. In the case where multiple (global) optima may exist, a technique based on the method of simulated evolution is developed to circumvent the difficulty of convergence of population. Numerical studies of some standard test functions and an optimum structural design problem show that the proposed method is effective in solving global optimization problems.

原文English
主出版物標題International Conference on Intelligent Computing, ICIC 2006, Proceedings
發行者Springer Verlag
頁面790-801
頁數12
4113 LNCS - I
ISBN(列印)3540372717, 9783540372714
出版狀態Published - 2006
事件International Conference on Intelligent Computing, ICIC 2006 - Kunming, China
持續時間: 2006 八月 162006 八月 19

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4113 LNCS - I
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

OtherInternational Conference on Intelligent Computing, ICIC 2006
國家China
城市Kunming
期間06-08-1606-08-19

    指紋

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

引用此

Chiang, D-Y., & Moh, J. (2006). A global optimization method based on simulated annealing and evolutionary strategy. 於 International Conference on Intelligent Computing, ICIC 2006, Proceedings (卷 4113 LNCS - I, 頁 790-801). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4113 LNCS - I). Springer Verlag.