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http://dx.doi.org/10.3795/KSME-A.2002.26.6.1008

An Enhanced Genetic Algorithm for Global and Local Optimization Search  

Kim, Young-Chan (부경대학교 기계공학부)
Yang, Bo-Suk (부경대학교 대학원 음향진동공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.26, no.6, 2002 , pp. 1008-1015 More about this Journal
Abstract
This paper proposes a combinatorial method to compute the global and local solutions of optimization problem. The present hybrid algorithm is the synthesis of a genetic algorithm and a local concentrate search algorithm (simplex method). The hybrid algorithm is not only faster than the standard genetic algorithm, but also gives a more accurate solution. In addition, this algorithm can find both the global and local optimum solutions. An optimization result is presented to demonstrate that the proposed approach successfully focuses on the advantages of global and local searches. Three numerical examples are also presented in this paper to compare with conventional methods.
Keywords
Optimum Design; Genetic Algorithm; Simplex Method; Multimodal Function; Simple Rotor;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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