Global Optimization with Non-Convex Constraints
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About the book
This book presents a new approach to global non-convex constrained optimization. Problem dimensionality is reduced via space-filling curves. To economize the search, constraint is accounted separately (penalties are not employed). The multicriteria case is also considered. All techniques are generalized for (non-redundant) execution on multiprocessor systems. Audience: Researchers and students working in optimization, applied mathematics, and computer science.
Book details
- Year
- 2013
- Language
- English
- Publisher
- Springer
- Editions
- 4
- Pages
- 704
- ISBN
- 9781461371175
Data source: Wikidata