Suchergebnisse - multi-swarm fruit fly optimization algorithm
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Autoren:
Quelle: PLoS ONE. 6/3/2025, Vol. 20 Issue 6, p1-31. 31p.
Schlagwörter: *OPTIMIZATION algorithms, *EVOLUTIONARY algorithms, *GLOBAL optimization, *GENETIC algorithms, *PROCESS capability
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Autoren:
Quelle: PLoS ONE, Vol 20, Iss 6 (2025)
Dateibeschreibung: electronic resource
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Autoren:
Quelle: Sensors, Vol 20, Iss 18, p 5026 (2020)
Schlagwörter: multi-functional heterogeneous UAVs, cooperative mission planning, multi-swarm fruit fly optimization algorithm, Chemical technology, TP1-1185
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: 2017 36th Chinese Control Conference (CCC). :2796-2800
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Autoren:
Quelle: Structural Engineering and Mechanics. 56:409-422
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Autoren: et al.
Quelle: Arabian Journal for Science and Engineering. 41:807-828
Schlagwörter: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
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Autoren: et al.
Quelle: Applied Mathematics and Computation. 233:260-271
Schlagwörter: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Autoren:
Quelle: Applied Sciences, Vol 10, Iss 8, p 2822 (2020)
Schlagwörter: multiple unmanned aerial vehicles (multi-UAVs), fruit fly optimization algorithm (FOA), path planning, multi-swarms, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: International Journal of Bio-Inspired Computation. 1:1
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Autoren: et al.
Quelle: Symmetry (20738994). Jul2022, Vol. 14 Issue 7, pN.PAG-N.PAG. 19p.
Schlagwörter: *FRUIT flies, *TRAFFIC flow, *MATHEMATICAL optimization, *FORECASTING, *PREDICTION models
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Autoren: K. Loheswaran
Quelle: IET Networks, Vol 10, Iss 1, Pp 24-33 (2021)
Schlagwörter: search problems, design of experiments, optimisation, Telecommunication, 0202 electrical engineering, electronic engineering, information engineering, scheduling, TK5101-6720, 02 engineering and technology, particle swarm optimisation, regression analysis
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Autoren: Loheswaran, K.
Quelle: IET Networks (Wiley-Blackwell); Jan2021, Vol. 10 Issue 1, p24-33, 10p
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Autoren:
Quelle: IEEE Access, Vol 7, Pp 96048-96059 (2019)
Schlagwörter: multi-swarm fruit fly optimization algorithm, 0202 electrical engineering, electronic engineering, information engineering, multimodal medical image fusion, Quality guided, pulse coupled neural network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971
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Quelle: Artificial Intelligence Review; Nov2023, Vol. 56 Issue 11, p13015-13069, 55p
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Three-Partition Multistrategy Adaptive Fruit Fly Optimization Algorithm for Microgrid Droop Control.
Autoren: et al.
Quelle: International Transactions on Electrical Energy Systems; 2/14/2022, p1-20, 20p
Schlagwörter: FRUIT flies, MICROGRIDS, MATHEMATICAL optimization, PROBLEM solving
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Autoren:
Quelle: Engineering & Applied Science Research; 2020, Vol. 47 Issue 1, p1-25, 26p
Schlagwörter: MATHEMATICAL optimization, FRUIT flies, RANDOM walks, MULTILAYER perceptrons, SEARCH algorithms
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Autoren: et al.
Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2016, Vol. 41 Issue 3, p807-828, 22p
Schlagwörter: EVOLUTIONARY algorithms, COMPUTER networks, STOCHASTIC convergence
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Alternate Title: Improved fruit fly optimization algorithm for solving the hybrid flow shop scheduling problem. (English)
Autoren: et al.
Quelle: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Apr2023, Vol. 40 Issue 4, p597-606, 10p
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Autoren: et al.
Quelle: Engineering Optimization; May2020, Vol. 52 Issue 5, p777-797, 21p
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Autoren:
Schlagwörter: Medicine, Ecology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, well control parameters, including ablation studies, ieee cec 2022, ieee cec 2017, algorithm 8217, growing global demand, greedy selection mechanism, achieving effective optimization, search trace visualizations, population 8217, mgfoa significantly outperformed, first apply multi, gas production optimization, gas production, global optimization, swarm mechanism, optimization performance, similar algorithms, search ability, scalability experiments, powerful tools, petroleum sector, paramount importance
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