Parallel Multi-Objective Evolutionary Algorithms

author: El-Ghazali Talbi, Polytech'Lille
published: May 31, 2016,   recorded: May 2016,   views: 47
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Description

This paper describes a general overview of parallel multi-objective evolutionary algorithms (MOEA) from the design and the implementation point of views. A unified taxonomy using three hierarchical parallel models is proposed. Different parallel architectures are considered. The performance evaluation issue of parallel MOEA is also discussed.

This lecture is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 692286.

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