Global optimization with non-convex constraints : sequential and parallel algorithms / by Roman G. Strongin, Yaroslav D. Sergeyev.
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 general...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Author: | |
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht ; Boston :
Kluwer Academic Publishers,
[2000]
|
| Series: | Nonconvex optimization and its applications ;
v. 45. |
| Subjects: |
Internet
Full Text (via Springer)Online
| Call Number: |
QA402.5 .S773 2000eb
|
|---|---|
| QA402.5 .S773 2000eb | Available |