Binary Self-Organizing Map with Modified Updating Rule and Its Application to Reproduction of Genetic Algorithm(Biocybernetics, Neurocomputing)
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概要
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In this paper, we propose a modified reproduction strategy of a Genetic Algorithm (GA) utilizing a Self-Organizing Map (SOM) with a novel updating rule of binary weight vectors based on a significance of elements of inputs. In this rule, an updating order of elements is decided by considering fitness values of individuals in a population. The SOM with the proposed updating rule can realize an effective reproduction.
- 社団法人電子情報通信学会の論文
- 2007-01-01
著者
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Kubota Ryosuke
Graduate School Of Science And Engineering Yamaguchi University
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HORIO Keiichi
Graduate School of Life Science and Systems Engineering, Kyushu Inst. of Tech.
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YAMAKAWA Takeshi
Graduate School of Life Science and Systems Engineering, Kyushu Inst. of Tech.
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Yamakawa Takeshi
Graduate School Of Life Science And Systems Engineering Kyushu Inst. Of Tech.
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Horio Keiichi
Graduate School Of Life Science And Systems Engineering Kyushu Inst. Of Tech.
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