Topics of Interest (but not limited to)

  • Benchmark problems and performance measures
  • Dynamic single - and multi-objective optimization
  • Adaptation, learning, and anticipation
  • Models of uncertainty and their management
  • Handling noisy fitness functions
  • Searching for robust optimal solutions
  • Algorithm comparison and benchmarking
  • Hybrid approaches
  • Theoretical analysis
  • Real-world applications