Metaheuristics for multiobjective optimisation |
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Authors: | Arnaud Liefooghe |
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Institution: | (1) Dept. of Electrical Engineering, University of Pavia, Via Ferrata, 1, 27100 Pavia, Italy |
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Abstract: | This is a summary of the author’s PhD thesis supervised by Laetitia Jourdan and El-Ghazali Talbi and defended on 8 December
2009 at the Université Lille 1. The thesis is written in French and is available from . This work deals with the design, implementation and experimental analysis of metaheuristics for solving multiobjective optimisation
problems, with a particular interest on hard and large combinatorial problems from the field of logistics. After focusing
on a unified view of multiobjective metaheuristics, we propose new cooperative, adaptive and parallel approaches. The performance
of these methods are experimented on a scheduling and a routing problem involving two or three objective functions. We finally
discuss how to adapt such metaheuristics during the search process in order to handle uncertainty that may occur from many
different sources. |
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Keywords: | |
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