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Titlebook: Applications of Bat Algorithm and its Variants; Nilanjan Dey,V. Rajinikanth Book 2021 The Editor(s) (if applicable) and The Author(s), und

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https://doi.org/10.1007/978-3-531-90247-0 This chapter presents a comparative study of bat-inspired computing algorithm and its hybrid variants in order to discover near-optimal Golomb rulers (OGRs). Near-OGR sequences can be used as a channel allocation scheme to reduce one of the important nonlinear crosstalk generated via four-wave mixi
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Aufbereitung und Auswertung der Daten, provides more visible brain abnormalities than other modalities. This work implemented a heuristic algorithm based examination procedure. In this, the Bat Algorithm (BA) is used to improve the visibility of the tumor-pixels using the Kapur’s Entropy (KE). The improved tumor section is then collecte
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A New Hybrid Binary Algorithm of Bat Algorithm and Differential Evolution for Feature Selection anded with an enhanced version of the differential evolution algorithm (DE). In the proposed algorithm, the BA with its capacity for echolocation to explore the feature space is combined with DE and its ability to converge to the best global solution in the search space. The general performance of the
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,Multi-thresholding with Kapur’s Entropy—A Study Using Bat Algorithm with Different Search Operatorshance the information in the existing raw image using a chosen pre-processing method. Multi-thresholding is one of the famous pre-processing practices, normally used to enhance the raw picture by clustering the similar pixels based on the preferred threshold. This work proposes a multi-threshold pro
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