Latest Research in Population Metaheuristic Frameworks

Top Research Topics in Population Metaheuristic Frameworks

• Metaheuristic Optimization Algorithms Research — 6 papers
• Neural and Evolutionary Computing — 6 papers
• Machine Learning — 2 papers
• Advanced Multi-Objective Optimization Algorithms — 2 papers
• Topology Optimization in Engineering — 1 papers
• Advanced Clustering Algorithms Research — 1 papers
• Stochastic Gradient Optimization Techniques — 1 papers
• Optimization and Packing Problems — 1 papers
• Optimization and Control — 1 papers
• Evolutionary Algorithms and Applications — 1 papers

Highest-Cited Papers

1. An Adaptive Multi-Objective Particle Swarm Optimization Algorithm Based on Capacity-Driven Dual-Archive
2. Structural Design Optimization of Pallet Rack Structures Using Surrogate Methods and Metaheuristic Algorithms
3. An improved fully informed search algorithm with population reduction and fitness-guided variable-level perturbation for medical data clustering
4. GRACE-PSO: Particle Swarm Optimization with Group Rank Assessment and Cooperative Evolution
5. Coevolutionary Neural Dynamics Considering Multiple Strategies for Nonconvex Optimization (46 citations)
6. Early-Stopping Thresholds for ES-HyperNEAT: A Data-Driven Approach from Fitness Dynamics
7. A rank-conditioned α-stable perturbation for differential evolution: Separating perturbation frequency and tail heaviness
8. On the Effectiveness of Memetic Search in Population-Based Metaheuristics for the One-Dimensional Cutting Stock Problem
9. MPFA: A Pareto Front Approximation Method for Riemannian Bi-objective Optimization
10. A practical DIRECT-type algorithm for medium-scale black-box global optimization
11. A Sobol-Driven Multi-Objective Whale Migration Algorithm for Engineering Optimization
12. How Much Oracle Is Needed in LLM-Driven Evolution? Separating Selection and Mutation Feedback under Surrogate Evaluation
13. MCPSO-ALS: A Multi-Swarm Collaborative Particle Swarm Optimization with Adaptive Learning Strategy for Solving Global Optimization Problems
14. Neural-Network Assisted MPC for flow reactors including reactions
15. Machine learning-assisted calibration of Agent-based Models: surrogate-based optimization with Genetic Algorithm and Particle Swarm Optimization
16. EmoPyLab: A Tensor-Native, Hardware-Accelerated Laboratory for High-Throughput Benchmarking and Decision-Making in Multi/Many-Objective Optimization
17. Weather State Ants Optimizer: A Markov-Driven Variable-Structure Metaheuristic
18. Deep sea anglerfish symbiosis optimization for heterogeneous role structured engineering optimization
19. On the Exploration and Exploitation Capabilities of Adaptive Differential Evolution: A Case Study Using JADE, L-SHADE, and jDElscop
20. A Self-Adaptive Multi-Learning Strategy Particle Swarm Optimizer for UWB Indoor Positioning Anchors Layout Optimization

Sub-Regions

• Electric and Hybrid Vehicle Technologies — 26 papers
• Advanced Battery Technologies Research — 13 papers
• Metaheuristic Optimization Algorithms Research — 10 papers
• Neural and Evolutionary Computing — 9 papers
• Topology Optimization in Engineering — 4 papers
• Electric Vehicles and Infrastructure — 3 papers