This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …

Large-scale multimodal multiobjective optimization problems (MMOPs) have different
equivalent Pareto optimal solution sets (PSs) for the same Pareto front and contain a great …

Multimodal multi-objective optimization (MMO) can offer more elegant solutions and provide
diverse decisions to decision-makers in real world optimization problems. Many multimodal …

In this paper, a new modified particle swarm optimization, m-PSO, is proposed, in which the
novelty consists of proposing a fitness-based particle swarm optimization algorithm, PSO …

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-modal multi-objective optimization problems (MMOPs) refer to several solutions in the
decision space that share the same or similar objective value. Balancing the diversity of the …

Minimizing the mass of a structure and maximizing its first natural frequency of vibration are
conflicting objectives of real interest in structural design. To avoid problems with resonance …

Multimodal multiobjective optimization problems, which widely exist in real-world
applications, have multiple Pareto optimal sets in decision space corresponding to the same …

Multimodal multi-objective optimization problems (MMOPs) contain multiple equivalent
Pareto optimal sets (PSs) corresponding to the same Pareto front (PF). However …

Compared to general multi-objective optimization problems, multimodal multi-objective
optimization problems (MMOPs) with local Pareto sets (PSs) must determine multiple global …