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

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A Hybrid Artificial Bee Colony Algorithm for the Terminal Assignment Problem,osed an artificial bee colony algorithm based approach for solving the TA problem. In comparison with the best methods available in the literature, the proposed approach obtained better quality solutions in shorter time.

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Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-C and UK banks; UK credit dataset and the benchmark WBC dataset. When compared the results of another recently proposed hybrid, particle swarm optimization trained auto associative neural network (PSOAANN) [.], PCA-GRAANN yielded mixed results. We conclude that PCA-GRAANN can be used as a viable alternative for any one-class classifier.

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Text Classification Using Ensemble Features Selection and Data Mining Techniques,s Gini index, chi-square, t-statistic, correlation which drastically reduced the model building time. Various neural network models such as probabilistic neural network, group method of data handling, multi layer perceptron yielded higher accuracies compared to other techniques applied in literature.

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A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series,onstrate the efficiency of our approach in terms of time elapsed and distance obtained between the subsequences through experiments conducted on financial time series datasets viz., foreign exchange rates, Gold price and Crude oil price in terms of US dollars.

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Intelligent Water Drops Algorithm for Multimodal Spaces,ms. Initially various conceptual similarities were identified between IWD algorithm and Genetic Algorithm(GA). Simultaneously applying IWD-Continuous Optimization(IWD-CO) algorithm and GA on a function in finding the global optima and found IWD-CO having faster convergence qualities. By taking this

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TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates,m algorithm parameters. This paper proposes an efficient prediction model for forecasting currency exchange rate in term of 1 US Dollar to Indian Rupees, Singapore Dollar and Canadian Dollar using FLANN (Functional Link Artificial Neural Network). The teaching and learning algorithm has been used to

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A Comparative Study of Two Types of Fuzzy Logic Controllers for Shunt Active Power Filters,ormance has been compared to a conventional PI-controller. The performance of the various controllers has been judged on the basis of their ability to reduce Total Harmonic Distortion and their ability to reduce DC-link capacitor voltage settling time during load change. The second factor is importa