Results 21 to 30 of about 2,736 (175)
Improved Dragonfly Algorithm with Neighbourhood Structures
International Journal of Scientific Research in Science and Technology, 2021 Dragonfly algorithm is a recently proposed optimization algorithm inspired on the static and dynamic swarming behaviour of dragonflies. Because of its simplicity and effectiveness, DA has received interest of specialists from various fields. Premature convergence and local optima is an issue in Dragonfly Algorithm.
S. Rajalakshmi +2 more
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Apple classification based on multi-information fusion and DA-DBN
Shipin yu jixie, 2023 Objective: In order to improve the precision of apple grade judgment model, the method of apple grade judgment was established. Methods: A decision model of apple rank based on multi-information fusion and dragonfly algorithm was proposed.
CHEN Haixia, JIA Zhijuan, ZHAO Yunping
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Dragonfly algorithm in 2020: review
Communications in Mathematical Biology and Neuroscience, 2021 Swarm Intelligence is the meta-heuristic algorithm that is inspired by the natural behavior of some groups of animals (like dragonfly, ants, ducks, etc.) striving for their life existence. One of them is Dragonfly Algorithm. Dragonfly Algorithm has been used to solve real-world nonlinear problems in engineering.
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Binary Dragonfly Algorithm for Feature Selection [PDF]
2017 International Conference on New Trends in Computing Sciences (ICTCS), 2017 Wrapper feature selection methods aim to reduce the number of features from the original feature set to and improve the classification accuracy simultaneously. In this paper, a wrapper-feature selection algorithm based on the binary dragonfly algorithm is proposed. Dragonfly algorithm is a recent swarm intelligence algorithm that mimics the behavior of
Majdi M. Mafarja +4 more
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Optimasi Ekonomi dan Emisi Pembangkit Listrik di Kalimantan menggunakan Dragonfly Algoritmh
Jurnal Elkomika, 2021 ABSTRAK Kebutuhan listrik di Kalimantan Selatan dan Tengah menjadi semakin bertambah dikarenakan meningkatnya jumlah penduduk dan ekonomi serta mahalnya biaya pembangkitan listrik.
BAYU SETYO WIBOWO +2 more
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IEEE Access, 2020 Feature selection is an effective method to eliminate irrelevant, redundant and noisy features, which improves the performance of classification and reduces the computational burden in machine learning.
Jiahui Li +6 more
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Tongxin xuebao, 2020 To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of ...
Zhihong QIAN +3 more
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Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm
Renewables: Wind, Water, and Solar, 2018 Distributed generation (DG) is small generating plants which are connected to consumers in distribution systems to improve the voltage profile, voltage regulation, stability, reduction in power losses and economic benefits.
M. C. V. Suresh, Edward J. Belwin
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Credibilistic Mean-Semi-Entropy Model for Multi-Period Portfolio Selection with Background Risk
Entropy, 2019 In financial markets, investors will face not only portfolio risk but also background risk. This paper proposes a credibilistic multi-objective mean-semi-entropy model with background risk for multi-period portfolio selection.
Jun Zhang, Qian Li
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Novel D-SLP Controller Design for Nonlinear Feedback Control
IEEE Access, 2020 Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algorithm
Jirapun Pongfai +3 more
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