Saif Ahmed

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Evolutionary algorithms often suffer from premature convergence when dealing with complex multi-modal function optimization problems as the fitness landscape may contain numerous local optima. To avoid premature convergence, sufficient amount of genetic diversity within the evolving population needs to be preserved. In this paper we investigate the impact(More)
With the increasing demand on knowledge sharing and problem solving, there is a growing participation on online Question & Answer (Q&A) forums in the recent past. We classify the online community participation on Stack Exchange into two different genres, one is technical and another is non-technical. Though several studies have measured community(More)
In order to achieve a satisfactory optimization performance by evolutionary programming (EP), it is necessary to ensure proper balance between exploration and exploitation. It is obvious that one single mutation operator is not the answer. Moreover, early loss of genetic diversity causes premature trapping around locally optimal points of the fitness(More)
Using Social Network Sites (SNS) as an information source has drawn the attention of the researchers for a while now. There have been many works that analyzed the types and topics of questions people ask in these networks and why. Topics like what motivate people to answer such queries, how to integrate the traditional search engines and SNS together are(More)
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