The aim is to apply experimental design techniques to improve the crossover operator, so that the resulting operator can be more robust and statistically sound.
Taguchi method is a systematic and efficient approach for experimental design that can be taken into account in the simultaneous modeling, evaluation and ...
Abstract. Based on our observation, some major steps in the genetic algorithm, such as the crossover operator, can be considered as experiments.
This work applies Taguchi method to tailor a new crossover operator so that the operator can estimate the best point in the search space determined by the ...
The aim is to apply experimental design techniques to improve the crossover operator, so that the resulting operator can be more robust and statistically sound.
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Recent research shows that orthogonal array based crossovers outperform standard and existing crossovers in evolutionary algorithms in solving parametrical ...
Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty: A Taguchi method-based crossover operator for the parametrical problems.
A Taguchi method-based crossover operator for the parametrical problems (2004) Presentation / Conference Contribution. Based on our ...
This paper has tested the performance of a factorial design based crossover operator embedded in a classical genetic algorithm and investigated whether or ...
Fogarty. 2003. A Taguchi method-based crossover operator for the parametrical problems. In Proceedings of the 2003 IEEE Congress on Evolutionary Computation ( ...