Abstract
The goal of the project was to adapt the idea of the Invasive Weed Optimization (IWO) algorithm to the problem of predetermining the progress of distributed data merging process and to compare the results of the conducted experiments with analogical outcomes produced by the evolutionary algorithm. The main differences between both compared algorithms constituted by operators used for transformation of individuals and for creation of a new population were taken into consideration during the implementation of the IWO algorithm. The construction of an environment for experimental research made it possible to carry out a set of tests to explore the characteristics of the tested algorithms. The results of the conducted experiments formed the main topic of analysis.
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
Chen, Y.: A systematic method for query evaluation in distributed heterogeneous databases. Journal of Information Science and Engineering 16(4) (2000)
Kostrzewa, D., Josiński, H.: Planning of the process of distributed data merging by means of evolutionary algorithm. In: Kozielski, S., Małysiak, B., Kasprowski, P., Mrozek, D. (eds.) Architecture, Formal Methods and Advanced Data Analysis. Wydawnictwa Komunikacji i Łączności, Gliwice, Poland (2008) (in Polish)
Lanzelotte, R.S.G., Valduriez, P., Zaït, M.: On the effectiveness of optimization search strategies for parallel execution spaces. In: Proceedings of the 19th Conference on Very Large Data Bases, Dublin, Ireland (1993)
Mallahzadeh, A.R., Oraizi, H., Davoodi-Rad, Z.: Application of the invasive weed optimization technique for antenna configurations. In: Progress in Electromagnetics Research (2008)
Mehrabian, R., Lucas, C.: A novel numerical optimization algorithm inspired from weed colonization. Ecological Informatics 1(4) (2006)
Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Wydawnictwa Naukowo-Techniczne, Warsaw (1999) (in Polish)
Sepehri Rad, H., Lucas, C.: A recommender system based on invasive weed optimization algorithm. In: Proceedings of the IEEE Congress on Evolutionary Computation, Singapore (2007)
Ullman, J.D., Widom, J.: A First Course in Database Systems. Wydawnictwa Naukowo-Techniczne, Warsaw (1999) (in Polish)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kostrzewa, D., Josiński, H. (2009). The Comparison of an Adapted Evolutionary Algorithm with the Invasive Weed Optimization Algorithm Based on the Problem of Predetermining the Progress of Distributed Data Merging Process. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_53
Download citation
DOI: https://doi.org/10.1007/978-3-642-00563-3_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00562-6
Online ISBN: 978-3-642-00563-3
eBook Packages: EngineeringEngineering (R0)