Simple Genetic Algorithm Started by Orthogonal Design of Experiments

Hidetoshi Tanaka

doi:10.11499/sicep.2004.0_12_3

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_12_3

会議情報

主催: The Society of Instrument and Control Engineers

共催: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Simple Genetic Algorithm Started by Orthogonal Design of Experiments

*Hidetoshi Tanaka

著者情報

キーワード: Genetic Algorithm, Optimization, Design of Experiment

会議録・要旨集フリー

p. 12

詳細

抄録

Genetic algorithm using orthogonal design of experiments as the initial population is proposed and evaluated. It improves performance in low variable interaction problems. However, the efficiency is not well recognized in benchmarks of high interactions. The performance of the random initialized and the OD-initialized simple genetic algorithm depend on the problem and the size.

責任著者(Corresponding author)

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