Developing Interval Global Optimization Algorithms on the Basis of Branch-and-Bound and Constraint Propagation Methods

Developing Interval Global Optimization Algorithms on the Basis of Branch-and-Bound and... In this paper, we present an interval global optimization method based on such well-known techniques as branch-and-bound method and constraint propagation methods. Along with a detailed description of the new method we discuss results of the numerical tests comparing our algorithm with popular Numerica global optimization package. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Developing Interval Global Optimization Algorithms on the Basis of Branch-and-Bound and Constraint Propagation Methods

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Publisher
Kluwer Academic Publishers-Plenum Publishers
Copyright
Copyright © 2005 by Springer Science + Business Media, Inc.
Subject
Mathematics; Numeric Computing; Approximations and Expansions; Computational Mathematics and Numerical Analysis; Mathematical Modeling and Industrial Mathematics
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1007/s11155-005-0041-4
Publisher site
See Article on Publisher Site

Abstract

In this paper, we present an interval global optimization method based on such well-known techniques as branch-and-bound method and constraint propagation methods. Along with a detailed description of the new method we discuss results of the numerical tests comparing our algorithm with popular Numerica global optimization package.

Journal

Reliable ComputingSpringer Journals

Published: Jan 1, 2005

References

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