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

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Biological Data Analysis Using Hybrid Functional Link Artificial Neural Network,There are many issues involved in knowledge discovery from these huge biomedical data for useful medical application. Traditional algorithms for neural network such as multi-layer perceptron model have proven to be inefficient for the classification of different biological data, as in many cases to

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Evaluating Internet Information Search Channels Using Hybrid MCDM Technique, enabled marketers and agencies to devise alternative methods to engage with consumers. The major challenge for marketers is to be informed about consumer preferences by identifying where the online consumers prefer to search pre-purchase information about the products to maximize the benefits of ma

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A Hybrid Artificial Bee Colony Algorithm for the Terminal Assignment Problem, links for connecting a given set of terminals to a given set of concentrators so that a given cost function is optimized. In this paper, we have proposed an artificial bee colony algorithm based approach for solving the TA problem. In comparison with the best methods available in the literature, th

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Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion, that of restoring noisy images and diffusion filters are an important class of denoising methods. In this work, we proposed a fuzzy diffusion coefficient which takes into account local pixel variability for better denoising and selective smoothing of edges. By using smoothed gradients along with th

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Optimum Design of Rolling Element Bearing, as an objective function along with the prescribed geometric, kinematics and strength constraints. The non-linear constrained optimization problem is solved using particles swarm optimization (PSO). The algorithm incorporates the generalized method to handle mixed integer design variables and ranke

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Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Cclass classifier (PCA-GRAANN). We test the effectiveness of PCA-GRAANN on bankruptcy prediction datasets namely Spanish banks, Turkish banks, US banks and UK banks; UK credit dataset and the benchmark WBC dataset. When compared the results of another recently proposed hybrid, particle swarm optimiza