Binary dragonfly algorithm
WebThe binary dragonfly algorithm has been enhanced by introducing two modifications. First, the authors use the Gaussian distribution random selection method for choosing the right value of the inertia weight w used to update the step vector (∆X). Second, the authors adopt chaotic maps to determine the random parameters s, a, c, f, and e.
Binary dragonfly algorithm
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WebApr 10, 2024 · In constructing the DE’s binary-adapted operators, the DE operators used formal analysis to specify its template precisely. Mirjalili [68] presented the binary dragonfly algorithm (BDA. This study proposed two methods: a BDA and a multi-objective BDA called MOBDA, using the V- and S-shaped transfer functions to binarize the base DA. WebThe classic version of Binary Dragonfly Algorithm was used for feature selection [26], but to best of our knowledge, this is the first time that Binary Dragonfly hybridized with …
WebIn this paper, an improved binary dragonfly algorithm (IBDA) which extends from the conventional dragonfly algorithm (DA) is proposed as a search strategy to design a … Webselection algorithm based on the binary dragonfly algorithm is proposed. Dragonfly algorithm is a recent swarm intelligence algorithm that mimics the behavior of the dragonflies. Eighteen UCI datasets are used to evaluate the performance of the proposed approach. The results of the proposed method are compared with
WebHariharan, M., Sindhu, R., Vijean, V., Yazid, H., Nadarajaw, T., Yaacob, S., & Polat, K. (2024). Improved binary dragonfly optimization algorithm and wavelet packet ... WebDec 20, 2024 · Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.
WebJan 24, 2024 · To solve this problem, this paper proposes a novel wavelength selection method based on the binary dragonfly algorithm (BDA), which includes three typical …
WebDragonfly algorithm is a recent swarm intelligence algorithm that mimics the behavior of the dragonflies. Eighteen UCI datasets are used to evaluate the performance of the … sky war minecraftWebApr 21, 2024 · In this algorithm, dragonflies reach the food source by using five important processes, namely separation, alignment, cohesion, food attraction, and enemy repulsion. Dragonflies move in swarms mainly for two purposes: hunting and migration. Hunting swarm is called the static (feeding) swarm and represents the exploration phase. sky warden nnbs specificationsWebJan 5, 2024 · HLBDA is an enhanced version of the Binary Dragonfly Algorithm (BDA) in which a hyper learning strategy is used to assist the algorithm to escape local … sky warriors incWebSep 5, 2024 · Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) has been proposed. During the algorithm iterative process, the BDA updates its five main coefficients using random values. sky warriors nifeWebThe purpose of this research is to compare Binary Particle Swarm Optimization (BPSO), Binary Dragonfly Algorithm (BDA). The dataset used is breast cancer from the UCI public dataset. The results of the feature selection will be used in the K-NN (K Nearest Neighbor) classification algorithm to get the Accuracy, Precision, Recall values. sky warrior aviation pensacolaWebThe results were thoroughly validated in different unimodal and multimodal functions; additionally, the BSSA was compared with high-performance algorithms: binary grasshopper optimization algorithm, binary dragonfly algorithm, binary bat algorithm, binary gravitational search algorithm, binary particle swarm optimization, and binary … sky war minecraft downloadWebJan 5, 2024 · Dragonfly algorithm (DA) is a recently established algorithm inspired by the swarming patterns of dragonflies in nature. It is originally designed to solve continuous … sky war of the worlds