The Proceedings of Design & Systems Conference
Online ISSN : 2424-3078
2002.12
Conference information
Approximation Optimization Using RBF and Genetic Range Genetic Algorithms : Application to constraint problems
Masao ArakawaHirotaka NakayamaHiroshi Isikawa
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 190-193

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Abstract
In this paper, we will show the integrated optimization system that is composed by RBF as approximation tool and Genetic Range Genetic Algorithms as optimizer. This system has function of optimizing radius of basis function in optimization, indication of next searching points by using basis function and optimization by using Genetic Range Genetic Algorithms that is a step further of Adaptive Range Genetic Algorithms. All these system is composed in Excel platform, thus, user can used them easily without knowing neither RBF nor GA. In order to show the effectiveness of the proposed system, we will show a numerical example that has multi-peak with constraints.
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© 2002 The Japan Society of Mechanical Engineers
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