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Scalable Optimization via Probabilistic Modeling

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Cover of 'Scalable Optimization via Probabilistic Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Factorized Distribution Algorithm and the Minimum Relative Entropy Principle
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    Chapter 3 Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA)
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    Chapter 4 Hierarchical Bayesian Optimization Algorithm
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    Chapter 5 Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms
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    Chapter 6 A Survey of Probabilistic Model Building Genetic Programming
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    Chapter 7 Efficiency Enhancement of Estimation of Distribution Algorithms
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    Chapter 8 Design of Parallel Estimation of Distribution Algorithms
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    Chapter 9 Incorporating a priori Knowledge in Probabilistic-Model Based Optimization
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    Chapter 10 Multiobjective Estimation of Distribution Algorithms
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    Chapter 11 Effective and Reliable Online Classification Combining XCS with EDA Mechanisms
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    Chapter 12 Military Antenna Design Using a Simple Genetic Algorithm and hBOA
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    Chapter 13 Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms
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    Chapter 14 BOA for Nurse Scheduling
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    Chapter 15 Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation
Attention for Chapter 9: Incorporating a priori Knowledge in Probabilistic-Model Based Optimization
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