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Assembly sequence optimization using the bees algorithm
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Book Chapter -
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Application of Bee Colony Optimization (BCO) in NP-Hard Problems
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Final Year Project -
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Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
Published 2014“…Nevertheless, existing literature showed that the capability of LSSVM is highly dependent on the value of its hyper-parameters, namely regularization parameter and kernel parameter, where this would greatly affect the generalization of LSSVM in prediction task. This study proposed a hybrid algorithm, based on Artificial Bee Colony (ABC) and LSSVM, that consists of three algorithms; ABC-LSSVM, lvABC-LSSVM and cmABC-LSSVM. …”
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Artificial bee colony in optimizing process parameters of surface roughness in end milling and abrasive waterjet machining
Published 2012“…Optimizing the process parameters is essential in order to provide a better quality and economics machining. This research develops an optimization algorithm using artificial bee colony (ABC) algorithm to optimize the process parameters that will lead to minimum surface roughness (Ra) value for both end miling and abrasive waterjet machining. …”
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Final Year Project Report / IMRAD -
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Predicting usage for a marketable e-learning portal
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Conference or Workshop Item -
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Bee colony optimised mass rapid transit routing prototype
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Article -
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Hybridization Of Deterministic And Metaheuristic Approaches In Global Optimization
Published 2019“…Besides that, the comparison results also indicated that the numerical performance of the new developed methods converges faster than the original ABC algorithm. …”
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