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» The GLOBAL optimization method revisited
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CASC
2010
Springer
151views Mathematics» more  CASC 2010»
13 years 6 months ago
Supporting Global Numerical Optimization of Rational Functions by Generic Symbolic Convexity Tests
Convexity is an important property in nonlinear optimization since it allows to apply efficient local methods for finding global solutions. We propose to apply symbolic methods t...
Winfried Neun, Thomas Sturm, Stefan Vigerske
SIAMJO
2002
107views more  SIAMJO 2002»
13 years 7 months ago
A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds
We give a pattern search method for nonlinearly constrained optimization that is an adaption of a bound constrained augmented Lagrangian method first proposed by Conn, Gould, and T...
Robert Michael Lewis, Virginia Torczon
AUSAI
2006
Springer
13 years 11 months ago
Finite Domain Bounds Consistency Revisited
A widely adopted approach to solving constraint satisfaction problems combines systematic tree search with constraint propagation for pruning the search space. Constraint propagati...
Chiu Wo Choi, Warwick Harvey, J. H. M. Lee, Peter ...
CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...
CEC
2007
IEEE
13 years 9 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki