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Cited by 16
Evaluation Ranges of Functions using Balanced Random Interval Arithmetic

A Survey of Methods for the Estimation Ranges of Functions Using Interval Arithmetic
Julius Žilinskas, Ian David Lockhart Bogle
https://doi.org/10.1007/978-0-387-36721-7_6
Book:  Optimization and Its Applications (Models and Algorithms for Global Optimization) Volume 4 (2007), p. 97
On Efficiency of Tightening Bounds in Interval Global Optimization
Antanas Žilinskas, Julius Žilinskas
https://doi.org/10.1007/11558958_22
Book:  Lecture Notes in Computer Science (Applied Parallel Computing. State of the Art in Scientific Computing) Volume 3732 (2006), p. 197
Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering
Carlos Pérez-Galván, I. David L. Bogle
https://doi.org/10.1007/978-3-319-29975-4_10
Book:  Springer Optimization and Its Applications (Advances in Stochastic and Deterministic Global Optimization) Volume 107 (2016), p. 181
Balanced Random and Adaptive Interval Arithmetic for Systems of Linear Interval Equations
J. Žilinskas, I. D. L. Bogle
https://doi.org/10.1007/978-0-85729-338-1_29
Book:  (2004), p. 347
Numerical Health Check of Industrial Simulation Codes from HPC Environments to New Hardware Technologies
Christophe Denis
https://doi.org/10.1007/978-3-642-14403-5_35
Book:  Lecture Notes in Computer Science (Parallel Processing and Applied Mathematics) Volume 6068 (2010), p. 330
An Interval Partitioning Approach for Continuous Constrained Optimization
Chandra Sekhar Pedamallu, Linet Özdamar, Tibor Csendes
https://doi.org/10.1007/978-0-387-36721-7_5
Book:  Optimization and Its Applications (Models and Algorithms for Global Optimization) Volume 4 (2007), p. 73
2011 Fifth International Conference on Genetic and Evolutionary Computing
Kuo-Kun Tseng, Wei Wei, Jeng-Shyang Pan, Chih-Yu Hsu, Shuo-Tsung Chen
https://doi.org/10.1109/ICGEC.2011.101
Conference:  (2011), p. 369
Global optimization in the 21st century: Advances and challenges
C.A. Floudas, I.G. Akrotiriankis, S. Caratzoulas, C.A. Meyer, J. Kallrath
https://doi.org/10.1016/S1570-7946(04)80082-8
Book:  Computer Aided Chemical Engineering (European Symposium on Computer-Aided Process Engineering-14, 37th European Symposium of the Working Party on Computer-Aided Process Engineering) Volume 18 (2004), p. 23
A Spatial Branch-and-Bound Framework for the Global Optimization of Kinetic Models of Metabolic Networks
C. Pozo, G. Guillén-Gosálbez, A. Sorribas, L. Jiménez
https://doi.org/10.1021/ie101368k
Journal:  Industrial & Engineering Chemistry Research Volume 50, Issue 9 (2011), p. 5225
A review of recent advances in global optimization
C. A. Floudas, C. E. Gounaris
https://doi.org/10.1007/s10898-008-9332-8
Journal:  Journal of Global Optimization Volume 45, Issue 1 (2009), p. 3
Balanced random interval arithmetic
Julius Zilinskas, Ian David Lockhart Bogle
https://doi.org/10.1016/j.compchemeng.2004.02.020
Journal:  Computers & Chemical Engineering Volume 28, Issue 5 (2004), p. 839
Balanced random interval arithmetic in market model estimation
Julius Zilinskas, Ian David Lockhart Bogle
https://doi.org/10.1016/j.ejor.2005.02.013
Journal:  European Journal of Operational Research Volume 175, Issue 3 (2006), p. 1367
GLOBAL OPTIMIZATION USING THE BRANCH‐AND‐BOUND ALGORITHM WITH A COMBINATION OF LIPSCHITZ BOUNDS OVER SIMPLICES
Remigijus Paulavičius, Julius Žilinskas
https://doi.org/10.3846/1392-8619.2009.15.310-325
Journal:  Technological and Economic Development of Economy Volume 15, Issue 2 (2009), p. 310
Global optimization in the 21st century: Advances and challenges
C.A. Floudas, I.G. Akrotirianakis, S. Caratzoulas, C.A. Meyer, J. Kallrath
https://doi.org/10.1016/j.compchemeng.2005.02.006
Journal:  Computers & Chemical Engineering Volume 29, Issue 6 (2005), p. 1185
IMPROVED LIPSCHITZ BOUNDS WITH THE FIRST NORM FOR FUNCTION VALUES OVER MULTIDIMENSIONAL SIMPLEX
Remigijus Paulavičius, Julius Žilinskas
https://doi.org/10.3846/1392-6292.2008.13.553-563
Journal:  Mathematical Modelling and Analysis Volume 13, Issue 4 (2008), p. 553
Research challenges, opportunities and synergism in systems engineering and computational biology
Christodoulos A. Floudas
https://doi.org/10.1002/aic.10620
Journal:  AIChE Journal Volume 51, Issue 7 (2005), p. 1872


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