Probability-Based Multi-objective Optimization for Material Selection
The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are int...
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| Auteurs principaux: | , , , , |
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| Collectivité auteur: | |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Édition: | 2nd ed. 2024. |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/978-981-99-3939-8 |
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Table des matières:
- History and Current Status of Material Selection with Multi – objective Optimization
- Introduction to Multi – objective Optimization in Material Selections
- Fundamental Principle of Probability - Based Multi - Objective Optimization and Applications
- Robustness Evaluation with Probability-Based Multi-objective Optimization
- Extension of Probability – based Multi – objective Optimization in Condition of the Utility with Desirable Value
- Hybrids of Probability – Based Multi – Objective Optimization with Experimental Design Methodologies
- Discretization of Simplified Evaluation in Probability-Based Multi-objective Optimization by Means of GLP and Uniform Experimental Design
- Fuzzy- based Probabilistic Multi-objective Optimization
- Cluster Analyses of Multiple Objectives
- Applications of Probability – based Multi – objective Optimization beyond Material Selection
- Treatment of Portfolio Investment by Means of Probability-BasedMulti-objective Optimization
- Treatment of Multi-objective Shortest Path Problem by Means of Probability-Based Multi-objective
- Discussion on preferable probability, discretization, error analysis and hybrid of sequential uniform design with PMOO
- General Conclusions.