An Evolutionary Approach for Searching Distributed Collections
Hui Yang, Ph.D student, School of Information Technology and Computer Science, University of Wollongong, Wollongong, 2520. Email: hy92@uow.edu.au
Dr.Minjie Zhang, Senior Lecturer, School of Information Technology and Computer Science, University of Wollongong, Wollongong, 2520, Email: minjie@uow.edu.au
Keywords
Evolutionary algorithm, Distributed collections, Searching and Matching
Abstract
This paper proposes an evolutionary approach for searching information collections in a distributed environment. This approach, which is given a set of information collections and user queries, finds the best possible matching between the information collections and user queries by taking into account the factors from both user queries perspective and collections’ perspective. The contribution of each factor in a searching model is indicated by a weighted parameter derived by a genetic algorithm. The values of these parameters are used to determine the contribution of the corresponding factors to the effectiveness of selection. Some preliminary results are demonstrated. Although inconclusive, they provide directions for possibly fruitful research and applications.
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