Heterogeneous variable-length genotypes for evolutionary optimization

被引：0
|
作者：
Sakka, S [1 ]
机构：
[1] AIST, Intelligent Syst Inst, Joint Robot Lab, Tsukuba, Ibaraki, Japan
来源：
ROMOCO' 04: PROCEEDINGS OF THE FOURTH INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL | 2004年
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D O I：
暂无
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
This paper deals with Evolutionary programming for optimization problems. The algorithm manipulates chromosomes of which genotypes contains heterogeneous data (integer and float numbers), depending on each other. Moreover, length of the chromosomes are different within a common evolution. The evolutionary algorithm is described and optimization results are compared to the previously implemented methodology [8]. Stability of the algorithm facing a change of problem dimensions is also tested and discussed.
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页码：29 / 34
页数：6
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