Abstract
The GLOBAL optimization method was designed in an era when researchers had to take into account the hardware limitations that meant much more difficulty back then, if they worked on practical optimization methods. The algorithm GLOBAL and all its implementations including the latest one in MATLAB have been carrying over workarounds of these past problems that are obsolete nowadays. The algorithm has no implementation on any of the modern programming platforms, while the available ones are not easy to use, customize, or integrate into larger software environments. This chapter introduces the GLOBALJ framework, a new, modularized JAVA implementation of an improved GLOBAL algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Apache Commons Math: http://commons.apache.org/proper/commons-math (2017)
Csendes, T.: Nonlinear parameter estimation by global optimization-efficiency and reliability. Acta Cybernet. 8, 361–370 (1988)
Csendes, T., Pál, L., Sendin, J.O.H., Banga, J.R.: The GLOBAL optimization method revisited. Optim. Lett. 2, 445–454 (2008)
Csete, M., Szekeres, G., Bánhelyi, B., Szenes, A., Csendes, T., Szabo, G.: Optimization of Plasmonic structure integrated single-photon detector designs to enhance absorptance. In: Advanced Photonics 2015, JM3A.30 (2015)
JScience: http://jscience.org (2017)
JSGL: http://jgsl.sourceforge.net (2017)
JQuantLib: http://www.jquantlib.org (2017)
Murtagh, F., Contreras, P.: Algorithms for hierarchical clustering: an overview. Wiley Interdisc. Rew.: Data Min. Knowl. Disc. 2, 86–97 (2012)
NumPy: http://www.numpy.org (2017)
PyQL: https://github.com/enthought/pyql (2017)
Rokach, L., Maimon, O.: Clustering Methods. Data Mining and Knowledge Discovery Handbook, pp. 321–352. Springer, New York (2005)
SciPy: https://www.scipy.org (2017)
The MathWorks, Inc.: https://www.mathworks.com/
TIOBE Index: https://www.tiobe.com/tiobe-index (2017)
WEKA: http://www.cs.waikato.ac.nz/ml/weka/index.html (2017)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Bánhelyi, B., Csendes, T., Lévai, B., Pál, L., Zombori, D. (2018). The GLOBALJ Framework. In: The GLOBAL Optimization Algorithm . SpringerBriefs in Optimization. Springer, Cham. https://doi.org/10.1007/978-3-030-02375-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-02375-1_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02374-4
Online ISBN: 978-3-030-02375-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)