Paper Info
Title
Globally optimized calibration of nonlinear models: Techniques, software, and applications
Abstract
The search for a better understanding of complex systems calls for quantitative model development. Within this process, model fitting to observation data often plays an important role. Traditionally, standard (convex) nonlinear optimization techniques have been applied to solve model calibration problems: the limitations of such approaches - due to their local search scope - are well known. By contrast, global optimization (GO) strategies are able to find (i.e., to numerically approximate) the 'absolutely best' model parameterization. This point is illustrated by numerical examples and case studies which have been analyzed and solved by our various software implementations.
Year
DOI
Venue
2003
10.1080/1055678031000119355
OPTIMIZATION METHODS & SOFTWARE
Keywords
Field
DocType
model calibration,nonlinear (convex and global) optimization,LGO model development and solver system,LGO solver engine for Excel users,MathOptimizer for Mathematica users,illustrative numerical examples and case studies
Complex system,Mathematical optimization,Nonlinear system,Global optimization,Parametrization,Computer science,Nonlinear programming,Software,Local search (optimization),Calibration
Journal
Volume
Issue
ISSN
18
3
1055-6788
Citations 
PageRank 
References 
1
0.35
0
Authors
1
Name
Order
Citations
PageRank
Janos Pinter110.35