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Scalable Optimization Via Probabilistic Modeling
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Table of Contents

The Factorized Distribution Algorithm and the Minimum Relative Entropy Principle.- Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA).- Hierarchical Bayesian Optimization Algorithm.- Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms.- A Survey of Probabilistic Model Building Genetic Programming.- Efficiency Enhancement of Estimation of Distribution Algorithms.- Design of Parallel Estimation of Distribution Algorithms.- Incorporating a priori Knowledge in Probabilistic-Model Based Optimization.- Multiobjective Estimation of Distribution Algorithms.- Effective and Reliable Online Classification Combining XCS with EDA Mechanisms.- Military Antenna Design Using a Simple Genetic Algorithm and hBOA.- Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms.- BOA for Nurse Scheduling.- Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation.

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