A Fast Computational Optimization Method : Univariate Dynamic Encoding Algorithm for Searches (uDEAS)(Numerical Analysis and Optimization)

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概要

• 論文の詳細を見る

• This paper proposes a new computational optimization method modified from the dynamic encoding algorithm for searches (DEAS). Despite the successful optimization performance of DEAS for both benchmark functions and parameter identification, the problem of exponential computation time becomes serious as problem dimension increases. The proposed optimization method named univariate DEAS (uDEAS) is especially implemented to reduce the computation time using a univariate local search scheme. To verify the algorithmic feasibility for global optimization, several test functions are optimized as benchmark. Despite the simpler structure and shorter code length, function optimization performance show that uDEAS is capable of fast and reliable global search for even high dimensional problems.

• 社団法人電子情報通信学会の論文
• 2007-08-01

著者

• Kim Sang

  Electrical And Computer Engineering Division Pohang University Of Science And Technology (postech)

• KIM Jong-Wook

  Department of Electronics Engineering, Dong-A University

• Kim Jong‐wook

  Dong‐a Univ. Busan Kor

• Kim Jong-wook

  Department Of Electronics Engineering Dong-a University

関連論文

• Digital Pattern Search and Its Hybridization with Genetic Algorithms for Bound Constrained Global Optimization
• New Encoding/Converting Methods of Binary GA/Real-Coded GA(Systems and Control)
• A Fast Computational Optimization Method : Univariate Dynamic Encoding Algorithm for Searches (uDEAS)(Numerical Analysis and Optimization)
• New Encoding Method of Parameter for Dynamic Encoding Algorithm for Searches (DEAS)
• Erratum: New Encoding Method of Parameter for Dynamic Encoding Algorithm for Searches (DEAS) [IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E94.A (2011) , No. 9 pp.1804-1816]

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