Results 11 to 20 of about 2,923 (194)
Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions.
Bibi Aamirah Shafaa Emambocus +3 more
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Apple classification based on multi-information fusion and DA-DBN
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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Two novel neural-evolutionary predictive techniques of dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility analysis [PDF]
Due to the wide application of evolutionary science in different engineering problems, the main aim of this paper is to present two novel optimizations of multi-layer perceptron (MLP) neural network, namely dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility assessment at a study area, West of Iran. Utilizing
Hossein Moayedi +5 more
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The cloud platform is becoming one of the fastest-rising environments in human activities, connecting the whole world in the upcoming decades. The three crucial aspects of cloud computing that enhance the quality of service are load balancing, task scheduling, and resource allocation.
Thanwamas Kassanuk, Khongdet Phasinam
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Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm
A multi-peak phenomenon can be observed on the power-voltage (P-U) characteristic curve of a photovoltaic (PV) array under partially shaded conditions (PSCs).
Fei XUE, Xin MA, Bei TIAN, Hui WU
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Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm
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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Abstract Climate change and global warming, as well as growing global demand for hydrocarbons in industrial sectors, make great incentives to investigate the utilization of CO2 for hydrocarbons production. Therefore, finding an in-depth understanding of the CO2 hydrogenation reactors along with simulating reactor responses to different operating ...
Sara Najari +4 more
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Quantifying loopy network architectures [PDF]
Biology presents many examples of planar distribution and structural networks having dense sets of closed loops. An archetype of this form of network organization is the vasculature of dicotyledonous leaves, which showcases a hierarchically-nested ...
A Barrat +32 more
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Novel D-SLP Controller Design for Nonlinear Feedback Control
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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A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors
Induction motors tend to have better efficiency on rated conditions, but at partial load conditions, when these motors operate on rated flux, they exhibit lower efficiency.
Niraj Kumar Shukla +2 more
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