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Titlebook: Advances in Nature and Biologically Inspired Computing; Proceedings of the 7 Nelishia Pillay,Andries P. Engelbrecht,Azah Kamila Conference

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https://doi.org/10.1057/9780230610279thers) have been proposed for real-valued multimodal optimization (MMO) problems. Unfortunately, there is a lack of efficient approaches for problems with binary representation. Existing techniques are usually based on general ideas of niching. Moreover, there exists the problem of choosing a suitab
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Brewing Trouble: the Devout Widow’S Taleed by users in an on-demand fashion. Companies around the globe are showing high interest in adopting cloud computing technology but cloud computing adaptation comes with greater risks that need to be assessed. In this research, an ensemble of adaptive neuro-fuzzy inference system (ANFIS) is propose
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William Pottell: Stories and Storytellerslgorithm, k-means is easy to implement and can be applied on large data sets. However, it presents drawbacks like the inefficiency of the used metric, the difficulty of the choice of the input k and the premature convergence. In contrast, k-medoids takes more time to come up with a clustering but en
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