Maximising performance of genetic algorithm solver in Matlab
Date
2016
Authors
Dao, S.D.
Abhary, K.
Marian, R.
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Journal article
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Engineering Letters, 2016; 24(1):75-83
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Abstract
Genetic Algorithm solver in Matlab is one of the popular commercial optimisation solvers commonly used in scientific research. Performance of the solver heavily depends on its parameters. To maximise the solver performance, this paper proposes a systematic and comprehensive approach based on Taguchi experimental design for the parameter tuning. Effectiveness of the proposed approach is demonstrated through a number of case studies
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Copyright 2016 Newswood