Parameter Setting in Evolutionary Algorithms 2007

• Kenneth DeJong:
  Parameter Setting in EAs: a 30 Year Perspective. 1-18
  
• A. E. Eiben, Zbigniew Michalewicz, Marc Schoenauer, J. E. Smith:
  Parameter Control in Evolutionary Algorithms. 19-46
  
• Silja Meyer-Nieberg, Hans-Georg Beyer:
  Self-Adaptation in Evolutionary Algorithms. 47-75
  
• Dirk Thierens:
  Adaptive Strategies for Operator Allocation. 77-90
  
• Mike Preuss, Thomas Bartz-Beielstein:
  Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms. 91-119
  
• Bo Yuan, Marcus Gallagher:
  Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks. 121-142
  
• Alan Piszcz, Terence Soule:
  Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques. 143-160
  
• Michael E. Samples, Matthew J. Byom, Jason M. Daida:
  Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms. 161-184
  
• Fernando G. Lobo, Cláudio F. Lima:
  Adaptive Population Sizing Schemes in Genetic Algorithms. 185-204
  
• Tian-Li Yu, Kumara Sastry, David E. Goldberg:
  Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. 205-223
  
• Martin Pelikan, Alexander K. Hartmann, Tz-Kai Lin:
  Parameter-less Hierarchical Bayesian Optimization Algorithm. 225-239
  
• Kalyanmoy Deb:
  Evolutionary Multi-Objective Optimization Without Additional Parameters. 241-257
  
• Erick Cantú-Paz:
  Parameter Setting in Parallel Genetic Algorithms. 259-276
  
• Zbigniew Michalewicz, Martin Schmidt:
  Parameter Control in Practice. 277-294
  
• Neal Wagner, Zbigniew Michalewicz:
  Parameter Adaptation for GP Forecasting Applications. 295-309