A review of multiobjective test problems and a scalable test problem toolkit


When attempting to better understand the strengths and weaknesses of an algorithm, it is important to have a strong understanding of the problem at hand. This is true for the field of multiobjective evolutionary algorithms (EAs) as it is for any other field. Many of the multiobjective test problems employed in the EA literature have not been rigorously… (More)
DOI: 10.1109/TEVC.2005.861417



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