Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2012; 13th International C Hujun Yin,José A. F. Costa,Guilherme Barreto Confer

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Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimizationrch capability of the algorithm. This paper introduces ABC with Improved Explorations (ABC-IX), a novel algorithm that modifies both the selection and perturbation operations of the basic ABC algorithm in an explorative way. Unlike the basic ABC algorithm, ABC-IX employs a probabilistic, explorative

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Extensions of Ant-Miner Algorithm to Deal with Class Imbalance Problemend to valorize the majority classes and ignore the minority classes, which is a problem when the minority classes are the classes of interest. In this paper we propose two extensions of the Ant-Miner algorithm to find better rules to the minority classes. These extensions modify, mainly, how rules

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Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approachver time. This work uses the concepts of habitats, ecological relationships, ecological successions and population dynamics to build a cooperative search algorithm, named ECO. This work aims to explore the population sizing not as a parameter but as a dynamic process. The Artificial Bee Colony (ABC)

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Harpoon

A Hybrid Approach Based on DCT-Genetic-Fuzzy Inference System for Speech Recognitiontion problem. This paper proposes a genetic-fuzzy recognition system for speech recognition. In addition to pre-processing, with mel-cepstral coefficients, the Discrete Cosine Transform (DCT) is used to generate a two-dimensional time matrix for each pattern to be recognized. A genetic algorithms is

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