Bayesian approach to global optimization and application to multiobjective and constrained problems
โ Scribed by J. B. Mockus; L. J. Mockus
- Publisher
- Springer
- Year
- 1991
- Tongue
- English
- Weight
- 876 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0022-3239
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An optimization platform with multilevel structure, which is capable of efficiently solving design-optimization problems in aerodynamics, is proposed. The multilevel structure relies on a two-way regular exchange of information between successive search levels. Each level can be associated with a di
This study aims at utilizing the dynamic behavior of artificial neural networks (ANNs) to solve multiobjective programming (MOP) and multilevel programming (MLP) problems. The traditional and nontraditional approaches to the MLP are first classified into five categories. Then, based on the approach