Abstract
A new iterative optimisation method based on an evolutionary strategy. The algorithm is proposed, which proceeds on a binary search space, combines a Genetic Algorithm and a knowledge extraction engine that is used to monitor the optimisation process. In addition of the boosted convergence to the optima in a fixed number of iterations, this method enables to generate knowledge as association rules. The new algorithm is applied for the first time for the design of heterogeneous solids in the frame of a combinatorial program of catalysts development.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wolf, D., Buyevskaya, O.V., Baerns, M.: Appl. Catal. A 200, 63–77 (2000)
Corma, A., Serra, J.M., Chica, A.: Principles and methods for accelerated catalyst design and testing. In: Derouane, E.G., Parmon, V., Lemos, F., Ribeiro, F.R. (eds.), pp. 153–172. Kluver Academic Publishers, Dordrecht (2002)
Farrusseng, D., Baumes, L., Vauthey, I., Hayaud, C., Denton, P., Mirodatos, C.: In: Derouane, E.G., Parmon, V., Lemos, F., Ribeiro, F.R. (eds.) Principles and methods for accelerated catalyst design and testing. pp. 101–124. Kluver Academic Publishers, Dordrecht (2002)
Ravisé, C., Sebag, M., Schoenauer, M.: In: Alliot, J.M., Lutton, E., Ronald, S.M., Snyers, D. (eds.) Artificial Evolution. pp. 100–119. Springer, Heidelberg (1996)
Rasheed, K., Hirsh, H. In: The Seventh International Conference on Genetic Algorithms, ICGA 1997 (1997)
Norris, E.M.: Revue Roumaine de Mathématiques Pures et Appliquées 23, 243–250 (1978)
Agrawal, R., Imielinski, T., Swami, A. In: Proceedings of the ACM SIGMOD Conference (1993)
Belkhiter, N., Bourhfi, C., Gammoudi, M.M., Jaoua, A., Le Thanh, N.: Reguig. M. INFOR 32, 33–53 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baumes, L., Jouve, P., Farrusseng, D., Lengliz, M., Nicoloyannis, N., Mirodatos, C. (2003). Dynamic Control of the Browsing-Exploitation Ratio for Iterative Optimisations. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_38
Download citation
DOI: https://doi.org/10.1007/978-3-540-45224-9_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
Online ISBN: 978-3-540-45224-9
eBook Packages: Springer Book Archive