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With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automatic text categorization becomes more and more important for dealing with massive data. However the major problem of text categorization is the high dimensionality of the feature(More)
Open vehicle routing problem (OVRP) aims to design a set of open vehicle routes with the least number of vehicles and the shortest total travel time, for serving a set of geographically distributed customers with known coordinates and demands. In this paper, a new hybrid iterated local search algorithm IVND is proposed for solving the OVRP. The IVND(More)
Measuring Inconsistency in ontologies is an important topic in ontology engineering as it can provide extra information for dealing with inconsistency. Many approaches have been proposed to deal with this issue. However, the main drawback of these algorithms is their high computational complexity. One of the main sources of the high complexity is the(More)
Consistent query answering over description logic-based ontologies is an important topic in ontology engineering as it can provide meaningful answers to queries posed over inconsistent ontologies. Current approaches for dealing with this problem usually consist of two steps: the first step is extracting some consistent sub-ontologies of an inconsistent(More)
In recent years, kNN algorithm is paid attention by many researchers and is proved one of the best text categorization algorithms. Text categorization is according to training set which is assigned class label to decide a new document which is not assigned class label belongs to some kind of document. Until now, kNN algorithm has still some issues to need(More)