A review of evolutionary multimodal multiobjective optimization
Multimodal multiobjective optimization aims to find all Pareto optimal solutions, including
overlap** solutions in the objective space. Multimodal multiobjective optimization has …
overlap** solutions in the objective space. Multimodal multiobjective optimization has …
Hierarchy ranking method for multimodal multiobjective optimization with local Pareto fronts
Multimodal multiobjective problems (MMOPs) commonly arise in real-world situations where
distant solutions in decision space share a very similar objective value. Traditional …
distant solutions in decision space share a very similar objective value. Traditional …
Weighted indicator-based evolutionary algorithm for multimodal multiobjective optimization
Multimodal multiobjective problems (MMOPs) arise frequently in the real world, in which
multiple Pareto-optimal solution (PS) sets correspond to the same point on the Pareto front …
multiple Pareto-optimal solution (PS) sets correspond to the same point on the Pareto front …
Two-stage double niched evolution strategy for multimodal multiobjective optimization
In recent years, numerous efficient and effective multimodal multiobjective evolutionary
algorithms (MMOEAs) have been developed to search for multiple equivalent sets of Pareto …
algorithms (MMOEAs) have been developed to search for multiple equivalent sets of Pareto …