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 4: Many-Criteria Dominance Relations

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Citations

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An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization

Conference proceeding (July 2024)

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