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Conference Papers Year : 2010

Indicator-based approaches for multiobjective optimization in uncertain environments: An application to multiobjective scheduling with stochastic processing times

Abstract

Many real-world optimization problems have to face a lot of difficulties: they are often characterized by large and complex search spaces, multiple conflicting objective functions, and a host of uncertainties that have to be taken into account. Metaheuristics are natural candidates to solve those problems and make them preferable to classical optimization methods. We here propose a number of new evolutionary algorithms to find a set of non-dominated solutions from multiobjective optimization problems in uncertain environments. Experiments are conducted on multiobjective scheduling with stochastic processing times.
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Dates and versions

hal-00523181 , version 1 (03-05-2023)

Identifiers

  • HAL Id : hal-00523181 , version 1

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Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi. Indicator-based approaches for multiobjective optimization in uncertain environments: An application to multiobjective scheduling with stochastic processing times. URPDM 2010 - 25th Mini-EURO Conference: Uncertainty and Robustness in Planning and Decision Making, Apr 2010, Coimbra, Portugal. ⟨hal-00523181⟩
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