Search Results - Goat Optimization Algorithm*
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Authors:
Source: Applied Innovations in Industrial Management. 5:70-80
Subject Terms: FOS: Computer and information sciences, Global Optimization, Swarm Intelligence, Optimization and Control (math.OC), Goat Optimization Algorithm, FOS: Mathematics, Bio-Inspired Metaheuristic, Computer Science - Neural and Evolutionary Computing, Benchmark Testing, Mathematics - Numerical Analysis, Neural and Evolutionary Computing (cs.NE), Numerical Analysis (math.NA), Mathematics - Optimization and Control
Access URL: http://arxiv.org/abs/2503.02331
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Authors: et al.
Source: 2025 26th International Middle East Power Systems Conference (MEPCON). :1-7
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Source: Journal of Networking and Communication Systems (JNACS). 8:15-24
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Authors: de Souza B; FACCTs GmbH, Rolandstrasse 67, 50677, Köln, Germany.
Source: Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2025 Apr 25; Vol. 64 (18), pp. e202500393. Date of Electronic Publication: 2025 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 0370543 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-3773 (Electronic) Linking ISSN: 14337851 NLM ISO Abbreviation: Angew Chem Int Ed Engl Subsets: MEDLINE; PubMed not MEDLINE
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Authors: et al.
Source: International Journal of Intelligent Systems Technologies and Applications. 22
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Authors:
Source: Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 14:2263-2284
Subject Terms: Artificial Intelligence (Other), Yapay Zeka (Diğer)
Access URL: https://hdl.handle.net/20.500.12418/36710
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Authors: et al.
Source: Turkish Journal of Veterinary & Animal Sciences. 2026, Vol. 50 Issue 1, p18-25. 8p.
Subjects: Machine learning, Goats, Goodness-of-fit tests, Body size, Livestock growth
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Authors:
Source: Recent Advances in Computer Science and Communications. 19
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Authors: Bernardo de Souza
Source: Angewandte Chemie. 137
Access URL: https://pubmed.ncbi.nlm.nih.gov/39959942
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Authors:
Source: IEEE Transactions on Industrial Informatics. 14:2951-2961
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Authors: et al.
Source: Frontiers in Health Informatics; 2024, Vol. 13 Issue 3, p950-963, 14p
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Authors: et al.
Source: Animals (2076-2615); Oct2025, Vol. 15 Issue 20, p2940, 14p
Subject Terms: CASHMERE, ANIMAL breeding, GENETICS, BOOSTING algorithms, ENSEMBLE learning, RANDOM forest algorithms, MACHINE learning
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Source: Journal of Applied Informatics and Computing, Vol 9, Iss 1, Pp 38-43 (2025)
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Authors: et al.
Source: 2011 IEEE 2nd International Conference on Software Engineering and Service Science. :51-54
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Authors: et al.
Source: Open Veterinary Journal. 2025, Vol. 15 Issue 9, p4496-4504. 9p.
Subjects: Body weight, Prediction models, Biometry, Livestock farms, Data mining, Goats, Support vector machines, Random forest algorithms
Geographic Terms: Peru
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Authors: et al.
Source: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Tao, S, Xu, Q, Feijoo, A, Hou, P & Zheng, G 2020, ' Bi-hierarchy Optimization of a Wind Farm Considering Environmental Impact ', IEEE Transactions on Sustainable Energy, vol. 11, no. 4, pp. 2515-2524 . https://doi.org/10.1109/tste.2020.2964793Subject Terms: Bi-hierarchy optimization, Power flow, 0202 electrical engineering, electronic engineering, information engineering, Noise propagation, Environmental effect, Wind farm planning, 3313.30 Turbinas, 02 engineering and technology, Wild goats algorithm, 7. Clean energy, 3322.05 Fuentes no Convencionales de Energía
File Description: application/pdf
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Authors: et al.
Source: Discover Animals (3004-894X). 2/27/2026, Vol. 3 Issue 1, p1-19. 19p.
Subjects: Milk yield, Model validation, Animal feeds, Dairy farms, Lactation in cattle, Linear programming, Cattle nutrition, Nutritional requirements
Geographic Terms: Africa
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Authors: et al.
Source: Animals (2076-2615); May2025, Vol. 15 Issue 10, p1449, 7p
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Authors: Manpreet Kaur
Source: International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 20s (2024); 08-19
Subject Terms: cloud computing, load balancing, workflow scheduling, resource management, optimization algorithms
File Description: application/pdf
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