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ORCIDScalable Optimization via Probabilistic Modeling 2006
- Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence 33, Springer 2006, ISBN 978-3-540-34953-2 - 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 V. 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
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