Scalable Optimization via Probabilistic Modeling 2006

• Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
  Introduction. 1-10
  
• Heinz Mühlenbein, Robin Höns:
  The Factorized Distribution Algorithm and the Minimum Relative Entropy Principle. 11-37
  
• Georges R. Harik, Fernando G. Lobo, Kumara Sastry:
  Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA). 39-61
  
• Martin Pelikan, David E. Goldberg:
  Hierarchical Bayesian Optimization Algorithm. 63-90
  
• Peter A. N. Bosman, Dirk Thierens:
  Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms. 91-120
  
• Yin Shan, Robert I. McKay, Daryl Essam, Hussein A. Abbass:
  A Survey of Probabilistic Model Building Genetic Programming. 121-160
  
• Kumara Sastry, Martin Pelikan, David E. Goldberg:
  Efficiency Enhancement of Estimation of Distribution Algorithms. 161-185
  
• Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz:
  Design of Parallel Estimation of Distribution Algorithms. 187-203
  
• Shumeet Baluja:
  Incorporating a priori Knowledge in Probabilistic-Model Based Optimization. 205-222
  
• Martin Pelikan, Kumara Sastry, David E. Goldberg:
  Multiobjective Estimation of Distribution Algorithms. 223-248
  
• Martin Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg:
  Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. 249-273
  
• Tian-Li Yu, Scott Santarelli, David E. Goldberg:
  Military Antenna Design Using a Simple Genetic Algorithm and hBOA. 275-289
  
• Erick Cantú-Paz:
  Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms. 291-314
  
• Jingpeng Li, Uwe Aickelin:
  BOA for Nurse Scheduling. 315-332
  
• Martin Pelikan, Alexander K. Hartmann:
  Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation. 333-349