HIGHLIGHTS
SUMMARY
Of 16 It is common in statistical modelling, and particularly in optimal experimental design, to assume the variance of the response to be normal homoscedastic. Contributions, Objectives and Organisation Optimal experimental design is an interesting field for the application of optimisation algorithms. The authors provide an implementation of the genetic algorithm adapted to approximate designs in the context of optimal experimental design, in particular, the insufficiently explored use of a multiobjective metaheuristic. Along with the solution provided, an initial comparison of the typical methods of optimal experimental design, compound criteria, with the metaheuristic multiobjective . . .
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