All Stories

  1. Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles
  2. A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
  3. Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
  4. Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
  5. Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
  6. RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
  7. Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
  8. An efficient computational approach for automatic itinerary planning on web servers