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Many-Criteria Optimization and Decision Analysis, 2023
- Dimo Brockhoff, Michael Emmerich, Boris Naujoks
, Robin C. Purshouse:
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives. Natural Computing Series, Springer 2023, ISBN 978-3-031-25262-4 - Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin C. Purshouse:
Introduction to Many-Criteria Optimization and Decision Analysis. 3-28 - Kalyanmoy Deb, Peter J. Fleming, Yaochu Jin, Kaisa Miettinen
Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis. 29-57 - Koen van der Blom
Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. 59-80 - André H. Deutz, Michael Emmerich
Many-Criteria Dominance Relations. 81-111 - Bekir Afsar
Many-Objective Quality Measures. 113-148 - Vanessa Volz, Dani Irawan, Koen van der Blom
Benchmarking. 149-179 - Jussi Hakanen, David Gold, Kaisa Miettinen
Visualisation for Decision Support in Many-Objective Optimisation: State-of-the-art, Guidance and Future Directions. 181-212 - Andreia P. Guerreiro, Kathrin Klamroth
Theoretical Aspects of Subset Selection in Multi-Objective Optimisation. 213-239 - Tinkle Chugh, António Gaspar-Cunha
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems. 241-267 - Hao Wang, Kaifeng Yang
Bayesian Optimization. 271-297 - Mickaël Binois, Abderrahmane Habbal, Victor Picheny:
A Game Theoretic Perspective on Bayesian Many-Objective Optimization. 299-316 - Richard Allmendinger, Joshua D. Knowles:
Heterogeneous Objectives: State-of-the-Art and Future Research. 317-335 - Vitor Basto-Fernandes
Many-Criteria Optimisation and Decision Analysis Ontology and Knowledge Management. 337-354
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