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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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A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
, 2020 The rapid expansion of information science has caused the issue of “the curse of dimensionality”, which will negatively affect the performance of the machine learning model.
Too, Jingwei, Mirjalili, Seyedali
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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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Ultra-Short-term PV Power Forecasting Based on a Support Vector Machine with Improved Dragonfly Algorithm [PDF]
, 2021 Photo-voltaic (PV) is one of the most abundant sources on the earth for the generation of electricity. Although, due to the stochastic nature of PV characteristics to sustain constant power, an accurate PV power prediction is needed for a grid-connected ...
S K. Jewaliddin +11 more
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International Journal of Networked and Distributed Computing (IJNDC), 2017 Nowadays cloud computing is being highly considered by many of researchers, organizations, governments and so on. According to processing happening inside of cloud computing, some of the most important problems and challenges in cloud computing are load ...
Zahra Amini +2 more
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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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Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm
IEEE Access, 2022 Software testing is important for ensuring the reliability of software systems. In software testing, effective test case generation is essential as an alternative to exhaustive testing.
Mashuk Ahmed +2 more
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IEEE Access, 2020 The short-term hydrothermal scheduling (STHS) is a complicated optimization problem, considering valve-point effect (VPE) and transmission losses, it exhibits the characteristics of nonlinearities and non-smoothness which increase the difficulty of ...
Gonggui Chen +3 more
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