Clustering-based Leaders' Selection (CLS) is a novel approach for leaders selection in multi-objective particle swarm optimisation. Both objective and solution spaces are clustered. An indirect mapping between clusters in both spaces is defined to ...
The parallelism feature of evolutionary multi-objective optimization (EMO) can be used to search for multiple clustering results simultaneously.An a posteriori method, EMO-KC, is proposed to identify an appropriate cluster number.A transformation ...
Recently, multimodal multi-objective optimization problems (MMOPs) have got widespread attention, which brings difficulties and challenges to current multi-objective evolutionary algorithms in striking a good balance between diversity in decision ...
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