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Evaluation of genotypic diversity measurements exploited in real-coded representation


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Corriveau, Guillaume et Guilbault, Raynald et Tahan, Antoine et Sabourin, R.. 2015. « Evaluation of genotypic diversity measurements exploited in real-coded representation ». arXiv. 13 p.


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Numerous genotypic diversity measures (GDMs) are available in the literature to assess the convergence status of an evolutionary algorithm (EA) or describe its search behavior. In a recent study, the authors of this paper drew attention to the need for a GDM validation framework. In response, this study proposes three requirements (monotonicity in individual varieties, twinning, and monotonicity in distance) that can clearly portray any GDMs. These diversity requirements are analysed by means of controlled population arrangements. In this paper four GDMs are evaluated with the proposed validation framework. The results confirm that properly evaluating population diversity is a rather difficult task, as none of the analysed GDMs complies with all the diversity requirements.

Type de document: Rapport technique (Rapports Techniques)
Guilbault, Raynald
Tahan, Antoine
Sabourin, Robert
Affiliation: Génie de la production automatisée, Génie mécanique
Date de dépôt: 05 juill. 2016 19:06
Dernière modification: 14 sept. 2017 14:24

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