Results 11 to 20 of about 673 (123)
Entropy, 2021 The dragonfly algorithm (DA) is a new intelligent algorithm based on the theory of dragonfly foraging and evading predators. DA exhibits excellent performance in solving multimodal continuous functions and engineering problems.
Lin Wang, Ronghua Shi, Jian Dong
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Wireless Communications and Mobile Computing, 2022 Flying Ad hoc Network (FANET) presents various challenges during communication due to the dynamic nature of network and ever‐changing topology. Owing to high mobility, it is difficult to ensure a well‐connected network and link stability. Thus, flying nodes have a higher chance of becoming disconnected from the network.
Shahzad Hameed +7 more
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International Journal of Cloud Applications and Computing, 2023 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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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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Two novel neural-evolutionary predictive techniques of dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility analysis [PDF]
Geomatics, Natural Hazards and Risk, 2019 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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Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm
Zhongguo dianli, 2022 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
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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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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Combined Economic Emission Dispatch in A Grid-Connected Microgrid Using an Improved Mayfly Algorithm [PDF]
Journal of Applied Research in Electrical Engineering, 2023 The Combined Economic Emission Dispatch (CEED) is an important consideration in every power system. In this paper, a modified Mayfly Algorithm named Modified Individual Experience Mayfly Algorithm (MIE-MA) is used to solve the CEED optimization problem ...
Nicholas Prah II +2 more
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Energy Conversion and Management, 2020 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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