Genetic algorithm for multi-objective experimental optimization.

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).

SUBMITTER: Link H 

PROVIDER: S-EPMC1705497 | biostudies-other | 2006 Dec

REPOSITORIES: biostudies-other