Balancing convergence and diversity in objective and decision spaces for multimodal multi-objective optimization
Solving multimodal multi-objective optimization problems (MMOPs) via evolutionary
algorithms receives increasing attention recently. Maintaining good diversity in both decision …
algorithms receives increasing attention recently. Maintaining good diversity in both decision …
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization
Multimodal multi-objective problems (MMOPs) arise frequently in the real world, in which
multiple Pareto optimal solution (PS) sets correspond to the same objective set. Traditional …
multiple Pareto optimal solution (PS) sets correspond to the same objective set. Traditional …
Large-scale multimodal multiobjective evolutionary optimization based on hybrid hierarchical clustering
Large-scale multimodal multiobjective optimization problems (MMOPs) have different
equivalent Pareto optimal solution sets (PSs) for the same Pareto front and contain a great …
equivalent Pareto optimal solution sets (PSs) for the same Pareto front and contain a great …
A grid-guided particle swarm optimizer for multimodal multi-objective problems
This paper proposes a grid-guided particle swarm optimizer for solving multimodal multi-
objective optimization problems that may have multiple disjoint Pareto sets corresponding to …
objective optimization problems that may have multiple disjoint Pareto sets corresponding to …
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy
Equivalent Pareto sets and local Pareto sets in decision space are involved in multimodal
multi-objective optimization problems (MMOPs). While popular multimodal multi-objective …
multi-objective optimization problems (MMOPs). While popular multimodal multi-objective …
A decomposition-based evolutionary algorithm using an estimation strategy for multimodal multi-objective optimization
Multimodal multi-objective optimization problems (MMOPs) are commonly seen in real-world
applications and have attracted a growing attention in recent years. In this paper, a …
applications and have attracted a growing attention in recent years. In this paper, a …
Handling multimodal multi-objective problems through self-organizing quantum-inspired particle swarm optimization
Multimodal multi-objective optimization problems (MMOPs) involve locating equivalent
Pareto optimal solutions in decision space with the same objective values. The key to …
Pareto optimal solutions in decision space with the same objective values. The key to …
BiOM: A framework for multimodal multiobjective optimization
Multimodal multiobjective evolutionary algorithms are expected to search for not only Pareto
optimal front but also the corresponding multiple equivalent Pareto optimal sets. To this end …
optimal front but also the corresponding multiple equivalent Pareto optimal sets. To this end …
Two-stage species conservation for multimodal multi-objective optimization with local Pareto sets
C Yang, T Wu, J Ji - Information Sciences, 2023 - Elsevier
Compared to general multi-objective optimization problems, multimodal multi-objective
optimization problems (MMOPs) with local Pareto sets (PSs) must determine multiple global …
optimization problems (MMOPs) with local Pareto sets (PSs) must determine multiple global …
A dynamic neighborhood balancing-based multi-objective particle swarm optimization for multi-modal problems
Q Gu, Q Wang, L Chen, X Li, X Li - Expert Systems with Applications, 2022 - Elsevier
To solve the multi-modal multi-objective optimization problems which may have two or more
Pareto-optimal solutions with the same fitness value, a new multi-objective particle swarm …
Pareto-optimal solutions with the same fitness value, a new multi-objective particle swarm …