A Clustering and Vector Angle-based Adaptive Evolutionary Algorithm for Multi-objective Optimization With Irregular Pareto Fronts
Maowei He,
Hongxia Zheng,
Hanning Chen
et al.
Abstract:In recent years, multi-objective optimization evolutionary algorithms (MOEAs) have been proven to be effective methods for solving multi-objective optimization problems (MOPs). However, most of existing MOEAs that are limited by the shape of the Pareto fronts (PFs) are only suitable for solving a certain type of problem. Therefore, in order to ensure the generality of the algorithm in practical applications and overcome the constraints brought by the shapes of PFs, a new adaptive MOEA (CAVA-MOEA) based on hier… Show more
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