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Erschienen in:
2009 | OriginalPaper | Buchkapitel
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
verfasst von : Daniel Kostrzewa, Henryk Josiński
Erschienen in: Man-Machine Interactions
Verlag: Springer Berlin Heidelberg
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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.