Abstract
In this paper the scheduling problem of optimization algorithms is defined. This problem is about scheduling numerical optimization methods from a set of iterative ’oracle-based’ techniques in order to obtain an as efficient as possible optimization process based on the given set of algorithms.
Statements are formulated and proven about the scheduling problem and methods are proposed to solve this problem.
The applicability of one of the proposed methods is demonstrated through a simple fuzzy rule based machine learning example.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Snyman, J.A.: Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer, New York (2005)
Levenberg, K.: A method for the solution of certain non-linear problems in least squares. Quart. Appl. Math. 2(2), 164–168 (1944)
Marquardt, D.: An algorithm for least-squares estimation of nonlinear parameters. J. Soc. Indust. Appl. Math. 11(2), 431–441 (1963)
Holland, J.H.: Adaption in Natural and Artificial Systems. The MIT Press, Cambridge (1992)
Nawa, N.E., Furuhashi, T.: Fuzzy system parameters discovery by bacterial evolutionary algorithm. IEEE Transactions on Fuzzy Systems 7(5), 608–616 (1999)
Botzheim, J., Cabrita, C., Kóczy, L.T., Ruano, A.E.: Fuzzy rule extraction by bacterial memetic algorithms. In: Proceedings of the 11th World Congress of International Fuzzy Systems Association, IFSA 2005, Beijing, China, pp. 1563–1568 (2005)
Balázs, K., Botzheim, J., Kóczy, L.T.: Comparison of Various Evolutionary and Memetic Algorithms. In: Proceedings of the International Symposium on Integrated Uncertainty Management and Applications, IUM 2010, Ishikawa, Japan (2010) (accepted for publication)
Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. IEEE Proc. 121(12), 1585–1588 (1974)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Balázs, K., Kóczy, L.T. (2010). A Remark on Adaptive Scheduling of Optimization Algorithms. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_74
Download citation
DOI: https://doi.org/10.1007/978-3-642-14058-7_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14057-0
Online ISBN: 978-3-642-14058-7
eBook Packages: Computer ScienceComputer Science (R0)