PhD Dissertation Reports: Characterization of Constrained Continuous Multiobjective Optimization Problems

Constrained multiobjective optimization problems (CMOPs) are integral to many real-world applications. Despite significant recent advances in multiobjective optimization, there remains a lack of adequate characterization and understanding of CMOPs, which limits the development and benchmarking of optimizers. This thesis addresses this gap by investigating CMOPs from two complementary perspectives: the feature space and the performance space.