A clustering-based archive handling method and multi-objective optimization of the optimal power flow problem
The main challenge in finding the optimal Pareto Front (PF) and Pareto Set (PS) sets for
multimodal multi-objective optimization problems (MMOPs) with conflicting objective …
multimodal multi-objective optimization problems (MMOPs) with conflicting objective …
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm
Constrained multimodal multi-objective optimization (CMMOPs) involves multiple equivalent
constrained Pareto optimal sets (CPSs) matching the same constrained Pareto front (CPF) …
constrained Pareto optimal sets (CPSs) matching the same constrained Pareto front (CPF) …
Topological clustering particle swarm optimizer based on adaptive resonance theory for multimodal multi-objective problems
Q Yao, S Yang, Q Shao, C Bian, M Wu - Information Sciences, 2024 - Elsevier
Multimodal multi-objective optimization problems aim to identify multiple equivalent Pareto-
optimal solution sets in the decision space, each associated with the same Pareto front in …
optimal solution sets in the decision space, each associated with the same Pareto front in …
An enhanced decomposition-based multi-objective evolutionary algorithm with neighborhood search for multi-resource constrained job shop scheduling problem
B Zhang, A Che - Swarm and Evolutionary Computation, 2025 - Elsevier
Abstract Today's industry 5.0 emphasizes the synergy between humans and equipment to
raise productivity. This paper investigates a multi-resource constrained job shop scheduling …
raise productivity. This paper investigates a multi-resource constrained job shop scheduling …
A multi-population competitive evolutionary algorithm based on genotype preference for multimodal multi-objective optimization
K Zhong, F Xiao, X Gao - Swarm and Evolutionary Computation, 2025 - Elsevier
Many existing multimodal multi-objective evolutionary algorithms (MMOEAs) exhibit poor
performance in addressing multimodal multi-objective optimization problems (MMOPs) …
performance in addressing multimodal multi-objective optimization problems (MMOPs) …
[HTML][HTML] A Two-Stage Co-Evolution Multi-Objective Evolutionary Algorithm for UAV Trajectory Planning
G Huang, M Hu, X Yang, Y Wang, P Lin - Applied Sciences, 2024 - mdpi.com
With the increasing complexity of unmanned aerial vehicle (UAV) missions, single-objective
optimization for UAV trajectory planning proves inadequate in handling multiple conflicting …
optimization for UAV trajectory planning proves inadequate in handling multiple conflicting …
A High-Speed Multi-Objective Genetic Algorithm Based on Filtering Approximate Pareto Sets with Elitism-Linked Yield: Ely
ED Mora Martinez, N Khaji - Available at SSRN 4998394 - papers.ssrn.com
This study introduces ELY (elitism-linked yield), which enhances the running time and
performance for solving multi-objective problems (not including many-objective problems) …
performance for solving multi-objective problems (not including many-objective problems) …
Multimodal Multi-Objective State Transition Algorithm
J Chu, X Han, X Wang, J Lu, J Wu, W Zhang - Available at SSRN 4765589 - papers.ssrn.com
Many real-world problems can be considered as multimodal multi-objective optimization
problems (MMOPs), which feature multiple equivalent Pareto optimal sets (PSs) …
problems (MMOPs), which feature multiple equivalent Pareto optimal sets (PSs) …