Parallel Multi-objective Evolutionary Algorithms
نویسنده
چکیده
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.
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تاریخ انتشار 2016