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Hybrid Optimization

Overview of attention for book
Cover of 'Hybrid Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 The Ten Years of CPAIOR: A Success Story
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    Chapter 2 Hybrid Optimization
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    Chapter 3 Global Constraints: A Survey
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    Chapter 4 Decomposition Techniques for Hybrid MILP/CP Models applied to Scheduling and Routing Problems
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    Chapter 5 Hybrid Solving Techniques
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    Chapter 6 Hybrid Optimization
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    Chapter 7 A Survey on CP-AI-OR Hybrids for Decision Making Under Uncertainty
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    Chapter 8 Constraint Programming and Local Search Hybrids
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    Chapter 9 Hybrid Metaheuristics
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    Chapter 10 Learning in Search
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    Chapter 11 What Is Autonomous Search?
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    Chapter 12 Software Tools Supporting Integration
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    Chapter 13 Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology
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    Chapter 14 Bioinformatics: A Challenge to Constraint Programming
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    Chapter 15 Sports Scheduling
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    Chapter 16 Stimuli Generation for Functional Hardware Verification with Constraint Programming
Attention for Chapter 5: Hybrid Solving Techniques
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