This paper describes a novel Bacterial Foraging Optimization (BFO) approach to multi-
objective optimization, called Multi-objective Bacterial Foraging Optimization (MBFO). The …

Due to the exponential growth of documents on internet, users want all the relevant data at
one place without any hassle. This led to the growth of Automatic Text Summarization. For …

Query refinement is to enhance the relevance of search results by modifying users' original
queries to refined versions. State-of-the-art query refinement models have been trained on …

The selection of information sources in a distributed information retrieval environment
remains a critical issue. In this context, it is known that a distributed information retrieval …

Internet recently, searching relevant and up-to-date information has become a crucial issue.
Information retrieval is one of the most crucial components in search engines and their …

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the
introduction to Intelligent IR, ie, Optimal Information Retrieval Using Evolutionary …

Tremendous amount of information is present in all over the world in the form of document
databases. This database is expanding exponentially. Measuring similarity between …

In conventional vector space model for information retrieval, query vector generation is
imperfect for retrieval of precise documents which are de-sired by user. In this paper, we …

The Web has become the largest source of information worldwide and the information, in its
various forms, is growing exponentially. So obtaining relevant and up-to-date information …

We address the problem of information sources selection in a context of a large number of
distributed sources. We formulate the sources selection problem as a combinatorial …