Experiments on metaheuristics: Methodological overview and open issues

Marco Chiarandini, Luis Paquete, Mike Preuss, Enda Ridge

Research output: Working paperResearch


Metaheuristics are a wide class of solution methods that have been successfully applied to many optimization problems. The assess- ment of these methods is commonly based on experimental analysis but the lack of a methodology in these analyses limits the scientific value of their results. In this paper we formalize dierent scenarios for the analysis and comparison of metaheuristics by experimentation. For each scenario we give pointers to the existing statistical methodology for car- rying out a sound analysis. Finally, we provide a set of open issues and further research directions.
Original languageEnglish
Publication statusPublished - 2007

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