Set-based Multiobjective Fitness Landscapes: A Preliminary Study

Abstract : Fitness landscape analysis aims to understand the geometry of a given optimization problem in order to design more efficient search algorithms. However, there is a very little knowledge on the landscape of multiobjective problems. In this work, following a recent proposal by Zitzler et al. (2010), we consider multiobjective optimization as a set problem. Then, we give a general definition of set-based multiobjective fitness landscapes. An experimental set-based fitness landscape analysis is conducted on the multiobjective NK-landscapes with objective correlation. The aim is to adapt and to enhance the comprehensive design of set-based multiobjective search approaches, motivated by an a priori analysis of the corresponding set problem properties.
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Communication dans un congrès
Genetic And Evolutionary Computation Conference, Jun 2011, Dublin, Ireland. ACM, pp.769--776, 2011, 〈10.1145/2001576.2001681〉
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Sébastien Verel, Arnaud Liefooghe, Clarisse Dhaenens. Set-based Multiobjective Fitness Landscapes: A Preliminary Study. Genetic And Evolutionary Computation Conference, Jun 2011, Dublin, Ireland. ACM, pp.769--776, 2011, 〈10.1145/2001576.2001681〉. 〈hal-00579984〉

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