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Genetic algorithm for multi-objective experimental optimization.

Hannes Link·Dirk Weuster-Botz
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Abstract

A new software tool making use of a genetic algorithm for multi-objective experimental optimization (GAME.opt) was developed based on a strength Pareto evolutionary algorithm. The software deals with high dimensional variable spaces and unknown interactions of design variables. This approach was evaluated by means of multi-objective test problems replacing the experimental results. A default parameter setting is proposed enabling users without expert knowledge to minimize the experimental effort (small population sizes and few generations).

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Hannes Link, Dirk Weuster-Botz. 2006-10-18. Genetic algorithm for multi-objective experimental optimization.. https://doi.org/10.1007/s00449-006-0087-7

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