Titlebook: Swarm, Evolutionary, and Memetic Computing; 5th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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Text Classification Using Ensemble Features Selection and Data Mining Techniques,ng these documents. In this paper, we classify the TechTC dataset collected from various Web directories. We employed feature selection methods such as Gini index, chi-square, t-statistic, correlation which drastically reduced the model building time. Various neural network models such as probabilis

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Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm,s a recent metaheuristic population-based algorithm belonging to swarm intelligent category which simulate river system. Examination timetabling is a combinatorial optimization problem that is concerned with allocating exams to timeslots efficiently. As an initial study, the IWD Algorithm is tailore

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A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series,icient and novel hybrid algorithm by taking best out of two popular algorithms namely MK algorithm and EP-C algorithm that exist in literature. We demonstrate the efficiency of our approach in terms of time elapsed and distance obtained between the subsequences through experiments conducted on finan

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Optimum Design of Rolling Element Bearing,esign result shows that the system life of an optimally designed roller element bearing is enhanced in comparisons with that of the current design without constraint violations. It is believed that the proposed algorithm can be applied to other roller element design applications.

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Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm,better than the the results that already reported in the literature. Some examination timetabling heuristic methods such as Saturation degree concepts have been embedded in IWD to ensure the feasibility, while the IWD operators have been trigged to iteratively improve the results...