Latest Research in Metaheuristic Optimization Algorithms Research

Top Research Topics in Metaheuristic Optimization Algorithms Research

• Metaheuristic Optimization Algorithms Research — 2 papers
• Neural and Evolutionary Computing — 2 papers
• Stochastic Gradient Optimization Techniques — 1 papers
• Optimization and Packing Problems — 1 papers
• Optimization and Control — 1 papers
• Machine Learning — 1 papers
• Evolutionary Algorithms and Applications — 1 papers
• Software Engineering — 1 papers

Highest-Cited Papers

1. An Adaptive Multi-Objective Particle Swarm Optimization Algorithm Based on Capacity-Driven Dual-Archive
2. Coevolutionary Neural Dynamics Considering Multiple Strategies for Nonconvex Optimization (46 citations)
3. Early-Stopping Thresholds for ES-HyperNEAT: A Data-Driven Approach from Fitness Dynamics
4. On the Effectiveness of Memetic Search in Population-Based Metaheuristics for the One-Dimensional Cutting Stock Problem
5. MPFA: A Pareto Front Approximation Method for Riemannian Bi-objective Optimization
6. A practical DIRECT-type algorithm for medium-scale black-box global optimization
7. How Much Oracle Is Needed in LLM-Driven Evolution? Separating Selection and Mutation Feedback under Surrogate Evaluation
8. EmoPyLab: A Tensor-Native, Hardware-Accelerated Laboratory for High-Throughput Benchmarking and Decision-Making in Multi/Many-Objective Optimization
9. On the Exploration and Exploitation Capabilities of Adaptive Differential Evolution: A Case Study Using JADE, L-SHADE, and jDElscop
10. Coronavirus Optimization Algorithm: A Success-History Adaptive Evolutionary Framework with Archive-Assisted Search and Stagnation Recovery for Global Optimization