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

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: 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

Author information

Keywords: Genetic Algorithm, Optimization, Design of Experiment

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 12

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Abstract

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.

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