Global Optimization with Non-Convex Constraints
Subtitle: Sequential and Parallel Algorithms
Publisher: Springer
Published: 2013
Language: eng
Number of pages: 704
ISBN-13: 9781461371175
Subjects: Mathematical optimization; Programming (mathematics)
Description: 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.