Many-criteria optimization and decision analysis : state-of-the-art, present challenges, and future perspectives / Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse, editors.
Brockhoff, Dimo, editor.; Emmerich, Michael (Associate professor), editor.; Naujoks, Boris, editor.; Purshouse, Robin, editor.
2023
QA76.9.N37
Available Online

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Title Many-criteria optimization and decision analysis : state-of-the-art, present challenges, and future perspectives / Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse, editors.
ISBN 9783031252631 (electronic bk.)
3031252632 (electronic bk.)
9783031252624
3031252624
DOI https://doi.org/10.1007/978-3-031-25263-1
Published Cham : Springer, 2023.
Language English
Description 1 online resource (376 pages) : illustrations (black and white, and color).
Item Number 10.1007/978-3-031-25263-1 doi
Call Number QA76.9.N37
Dewey Decimal Classification 006.3/8
Summary This book presents the state-of-the-art, current challenges, and future perspectives for the field of many-criteria optimization and decision analysis. The field recognizes that real-life problems often involve trying to balance a multiplicity of considerations simultaneously such as performance, cost, risk, sustainability, and quality. The field develops theory, methods and tools that can support decision makers in finding appropriate solutions when faced with many (typically more than three) such criteria at the same time. The book consists of two parts: key research topics, and emerging topics. Part I begins with a general introduction to many-criteria optimization, perspectives from research leaders in real-world problems, and a contemporary survey of the attributes of problems of this kind. This part continues with chapters on fundamental aspects of many-criteria optimization, namely on order relations, quality measures, benchmarking, visualization, and theoretical considerations. Part II offers more specialized chapters on correlated objectives, heterogeneous objectives, Bayesian optimization, and game theory. Written by leading experts across the field of many-criteria optimization, this book will be an essential resource for researchers in the fields of evolutionary computing, operations research, multiobjective optimization, and decision science.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Brockhoff, Dimo, editor.
Emmerich, Michael (Associate professor), editor.
Naujoks, Boris, editor.
Purshouse, Robin, editor.
Series Natural computing series.
Available in Other Form Many-criteria optimization and decision analysis.
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Chapter 1: Introduction to Many-Criteria Optimization and Decision Analysis
Chapter 2: Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis
Chapter 3: Identifying Properties of Real-World Optimisation Problems through a Questionnaire
Chapter 4: Many-Criteria Dominance Relations
Chapter 5: Many-Objective Quality Measures
Chapter 6: Benchmarking
Chapter 7: Visualisation for decision support in many-objective optimisation: state-of-the-art, guidance and future directions
Chapter 8: Theoretical Aspects of Subset Selection in Multi-Objective Optimisation
Chapter 9: Identifying Correlations in Understanding and Solving Multi-Objective Problems
Chapter 10: Bayesian Optimization
Chapter 11: A game theoretic perspective on Bayesian many-objective optimization
Chapter 12: Heterogeneous Objectives: State-of-the-Art and Future Research
Chapter 13: MACODA Ontology and Knowledge Management.

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