Latest Research in Constrained Evolutionary Computing

Top Research Topics in Constrained Evolutionary Computing

• Neural and Evolutionary Computing — 12 papers
• Advanced Multi-Objective Optimization Algorithms — 8 papers
• Artificial Intelligence — 8 papers
• Metaheuristic Optimization Algorithms Research — 7 papers
• Machine Learning — 3 papers
• Electric and Hybrid Vehicle Technologies — 3 papers
• Computation and Language — 2 papers
• Optimization and Control — 2 papers
• Gaussian Processes and Bayesian Inference — 1 papers
• Topology Optimization in Engineering — 1 papers

Highest-Cited Papers

1. SRCA-CEC: an adaptive two-phase framework for real-world constrained optimization
2. Expected Hypervolume Maximization for Multiobjective Optimization under Uncertainties
3. A Multiobjective Topology Optimization Method Based on Modified Hypervolume Increment
4. Expected Hypervolume Maximization for Multiobjective Optimization under Uncertainties
5. Evolution or Illusion? Rethinking Evaluation in LLM Evolutionary Search
6. Battery aging-aware speed planning and energy management for autonomous hybrid electric buses at signalized intersections and bus stations
7. IRCMO: Biologically Inspired Dual-Population Coevolution via Immune Tolerance and Homeostatic Resource Allocation for Constrained Multi-Objective Optimization
8. Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization
9. Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis
10. Learning Variable Importance and Interaction in Genetic Algorithms for Pseudo-Boolean Optimization
11. LLMDE: A Large Language Model-Driven Differential Evolution Algorithm for Portfolio Optimization
12. Meta-Learning-Assisted Constraint Relaxation for Constrained Black-Box Optimization
13. Enabling Population-Based Architectures for Neural Combinatorial Optimization
14. A Reinforcement Learning-Driven Multi-Agent Cooperative Grey Wolf Algorithm for Influence Maximization
15. A hybrid crossover kangaroo escape optimization framework for engineering optimization and UAV path planning
16. Compute Allocation for Self-Evolving LLMs: From Depth-Breadth to Multi-Armed Bandits
17. Adaptive dual-space discriminator for large-scale multi-objective optimization
18. A Classical Luxury eVTOL Complete Comfort on the Road and in the Air
19. Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation
20. Niching Agents in The Core

Sub-Regions

• Advanced Multi-Objective Optimization Algorithms — 17 papers
• Neural and Evolutionary Computing — 12 papers
• Artificial Intelligence — 12 papers
• UAV Applications and Optimization — 9 papers
• Metaheuristic Optimization Algorithms Research — 7 papers
• Metaheuristic Optimization Algorithms Research — 3 papers