A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework

Arnaud Liefooghe (1, 2) , Laetitia Jourdan (1, 2) , El-Ghazali Talbi (1, 2)

1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
2 LIFL - Laboratoire d'Informatique Fondamentale de Lille

The aim of this paper is to propose a unified view of evolutionary approaches for multi-objective optimization. Following three main issues dealing with fitness assignment, diversity preservation and elitism, a robust and flexible model, based on a fine-grained decomposition, is introduced. This model is validated by demonstrating how state-of-the-art methods can conveniently fit into it. Then, a modular implementation is proposed and is successfully integrated in a general purpose software framework dedicated to the reusable design of evolutionary multi-objective optimization techniques.

Domaines: Recherche opérationnelle [math.OC]

Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi. A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework. IEEE Symposium on Computational intelligence in Multi-Criteria Decision-Making (IEEE~MCDM 2009), Mar 2009, Nashville, United States. pp.88-95, ⟨10.1109/SSCI.2016.7850229⟩. ⟨hal-00763710⟩