Many-Criteria Optimization and Decision Analysis State-of-the-Art, Present Challenges, and Future Perspectives /
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,...
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| Співавтор: | |
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| Інші автори: | , , , |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Редагування: | 1st ed. 2023. |
| Серія: | Natural Computing Series,
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| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-031-25263-1 |
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Зміст:
- 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.