A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO

Arnaud Liefooghe, Laetitia Jourdan and El-Ghazali Talbi

European Journal of Operational Research, 2011, vol. 209, issue 2, 104-112

Abstract: This paper presents a general-purpose software framework dedicated to the design and the implementation of evolutionary multiobjective optimization techniques: ParadisEO-MOEO. A concise overview of evolutionary algorithms for multiobjective optimization is given. A substantial number of methods has been proposed so far, and an attempt of conceptually unifying existing approaches is presented here. Based on a fine-grained decomposition and following the main issues of fitness assignment, diversity preservation and elitism, a conceptual model is proposed and is validated by regarding a number of state-of-the-art algorithms as simple variants of the same structure. This model is then incorporated into the ParadisEO-MOEO software framework. This framework has proven its validity and high flexibility by enabling the resolution of many academic, real-world and hard multiobjective optimization problems.

Keywords: Multiple; objective; programming; Evolutionary; algorithms; Conceptual; unified; model; Algorithm; design; and; implementation; Software; framework (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:209:y:2011:i:2:p:104-112

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