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Many-Criteria Optimization and Decision Analysis

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Cover of 'Many-Criteria Optimization and Decision Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Many-Criteria Optimization and Decision Analysis
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    Chapter 2 Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis
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    Chapter 3 Identifying Properties of Real-World Optimisation Problems Through a Questionnaire
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    Chapter 4 Many-Criteria Dominance Relations
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    Chapter 5 Many-Objective Quality Measures
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    Chapter 6 Benchmarking
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    Chapter 7 Visualisation for Decision Support in Many-Objective Optimisation: State-of-the-art, Guidance and Future Directions
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    Chapter 8 Theoretical Aspects of Subset Selection in Multi-Objective Optimisation
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    Chapter 9 Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems
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    Chapter 10 Bayesian Optimization
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    Chapter 11 A Game Theoretic Perspective on Bayesian Many-Objective Optimization
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    Chapter 12 Heterogeneous Objectives: State-of-the-Art and Future Research
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    Chapter 13 Many-Criteria Optimisation and Decision Analysis Ontology and Knowledge Management
Attention for Chapter 10: Bayesian Optimization
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