Title
SNOBFIT -- Stable Noisy Optimization by Branch and Fit
Abstract
The software package SNOBFIT for bound-constrained (and soft-constrained) noisy optimization of an expensive objective function is described. It combines global and local search by branching and local fits. The program is made robust and flexible for practical use by allowing for hidden constraints, batch function evaluations, change of search regions, etc.
Year
DOI
Venue
2008
10.1145/1377612.1377613
ACM Trans. Math. Softw.
Keywords
Field
DocType
noisy function values,expensive objective function,practical use,soft constraints,parallel evaluation,search region,additional key words and phrases: branch and bound,hidden constraints,expensive function values,local fit,derivative-free,noisy optimization,surrogate model,hidden constraint,stable noisy optimization,batch function evaluation,local search,software package snobfit,branch and bound,trust region
Constraint satisfaction,Mathematical optimization,Branch and bound,Batch production,Algorithm,Surrogate model,Bellman equation,Batch processing,Local search (optimization),Mathematics,Constrained optimization
Journal
Volume
Issue
ISSN
35
2
0098-3500
Citations 
PageRank 
References 
32
1.43
8
Authors
2
Name
Order
Citations
PageRank
Waltraud Huyer120620.10
arnold neumaier21019161.61