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Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting
Joint Authors
Cabellos, Luis
Iglesias, Andrés
Gálvez, Akemi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The problem of data fitting is very important in many theoretical and applied fields.
In this paper, we consider the problem of optimizing a weighted Bayesian energy functionalfor data fitting by using global-support approximating curves.
By global-support curves we mean curves expressed as a linear combination of basis functions whose support is the whole domain of the problem, as opposed to other common approaches in CAD/CAM and computer graphics driven by piecewise functions (such as B-splines and NURBS) that provide local control of the shape of the curve.
Our method applies a powerful nature-inspired metaheuristic algorithm called cuckoo search, introduced recently to solve optimization problems.
A major advantage of this method is its simplicity: cuckoo search requires only two parameters, many fewer than other metaheuristic approaches, so the parameter tuning becomes a very simple task.
The paper shows that this new approach can be successfully used to solve our optimization problem.
To check the performance of our approach, it has been applied to five illustrative examples of different types, including open and closed 2D and 3D curves that exhibit challenging features, such as cusps and self-intersections.
Our results show that the method performs pretty well, being able to solve our minimization problem in an astonishingly straightforward way.
American Psychological Association (APA)
Gálvez, Akemi& Iglesias, Andrés& Cabellos, Luis. 2014. Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048433
Modern Language Association (MLA)
Gálvez, Akemi…[et al.]. Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1048433
American Medical Association (AMA)
Gálvez, Akemi& Iglesias, Andrés& Cabellos, Luis. Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048433
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048433