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Many-Criteria Optimization and Decision Analysis

Overview of attention for book
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 5: Many-Objective Quality Measures
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Citations

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Chapter title
Many-Objective Quality Measures
Chapter number 5
Book title
Many-Criteria Optimization and Decision Analysis
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-25263-1_5
Book ISBNs
978-3-03-125262-4, 978-3-03-125263-1
Authors

Afsar, Bekir, Fieldsend, Jonathan E., Guerreiro, Andreia P., Miettinen, Kaisa, Rojas Gonzalez, Sebastian, Sato, Hiroyuki

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

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