The keynote talk “Parallel Multi-Objective Evolutionary Algorithms” is available on videolectures.net.
This lecture presents 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.
It was recorded during the 7th International Conference on Bioinspired Optimization Methods And Their Applications (BIOMA), Bled 2016.