المؤلفون: Youliana Bimen Elias, Mariem Y. Yousef, Abdalla Mohamed, A. A. Ali, Magdi A. Mosa

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-41 (2024)

مصطلحات موضوعية: Nano-grid, Energy management, Demand side management, Load shifting, Consumer’s preference, Moth-flame optimization (MFO), Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/d0a8cd8b94374ab09b3cbd1c077db436

المؤلفون: Mohammad Khurshed Alam, Herwan Sulaiman, Asma Ferdowsi, Md Shaoran Sayem, Md Mahfuzer Akter Ringku, Md. Foysal

المصدر: Results in Control and Optimization, Vol 17, Iss , Pp 100465- (2024)

مصطلحات موضوعية: Moth -flame optimization (MFO), Grey wolf optimization (GWO), Superiority of feasible solutions-moth flame optimizer (SF-MFO), Valve point loading, Applied mathematics. Quantitative methods, T57-57.97

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S266672072400095X; https://doaj.org/toc/2666-7207

URL الوصول: https://doaj.org/article/92257603656941ea95e4f8fd2732ff6e

المؤلفون: Shruti Mishra, Sandeep Kumar Satapathy, Sachi Nandan Mohanty, Chinmaya Ranjan Pattnaik

المصدر: Communicative & Integrative Biology, Vol 16, Iss 1 (2023)

مصطلحات موضوعية: Electroencephalogram (EEG) signals, discrete wavelet transform (DWT), extreme learning machines (ELM), moth flame optimization (MFO), Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1942-0889

URL الوصول: https://doaj.org/article/9907cab07ec64bfeb980c6ebebf86952

المؤلفون: Shamik Chatterjee, Ahmed Nura Mohammed, Sachin Mishra, Naveen Kumar Sharma, Ali Selim, Mohit Bajaj, Mahmoud Rihan, Salah Kamel

المصدر: Frontiers in Energy Research, Vol 11 (2023)

مصطلحات موضوعية: autonomous distributed power system, moth flame optimization (MFO) technique, Sugeno fuzzy logic, real time operation, PIDD 2 controller., General Works

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2023.1055845/full; https://doaj.org/toc/2296-598X

URL الوصول: https://doaj.org/article/36984651c55a4a1ca5ae0fd3302d7c30

المؤلفون: Yaser Ali Shah, Farhan Aadil, Amaad Khalil, Muhammad Assam, Ibrahim Abunadi, Ala Saleh Alluhaidan, Fahd N. Al-Wesabi

المصدر: IEEE Access, Vol 10, Pp 14368-14385 (2022)

مصطلحات موضوعية: Clustering, evolutionary algorithms, intelligent transportation system (ITS), moth-flame optimization (MFO), swarm-based algorithm, vehicular ad hoc networks (VANETs), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9690847/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/da2da9c610a04353a8b765b3acebe7c8

المؤلفون: Lai, Wai Yan, Kuok, King Kuok, Gato-Trinidad, Shirley, Rahman, Md. Rezaur, Bakri, Muhammad Khusairy

المصدر: International Journal of Integrated Engineering; Vol. 15 No. 1 (2023); 273-285 ; 2600-7916 ; 2229-838X

مصطلحات موضوعية: Grey Wolf Optimizer (GWO), Multi-Verse Optimizer (MVO), Moth-Flame Optimization (MFO), artificial neural network, missing hourly rainfall observations

وصف الملف: application/pdf

Relation: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/8725/5676; http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/8725

الاتاحة: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/8725

المؤلفون: Rana Muhammad Adnan, Sarita Gajbhiye Meshram, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, S. I. Abba, Francis Andorful, Zhihuan Chen

المصدر: Mathematics; Volume 11; Issue 5; Pages: 1213

مصطلحات موضوعية: machine learning, hybrid modeling, moth flame optimization (MFO), water cycle algorithm (WCA), random vector functional link (RVFL)

وصف الملف: application/pdf

Relation: Computational and Applied Mathematics; https://dx.doi.org/10.3390/math11051213

الاتاحة: https://doi.org/10.3390/math11051213

المؤلفون: Salem A. Almazok, Bülent Bilgehan

المصدر: EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-26 (2020)

مصطلحات موضوعية: Mobile ad hoc networks (MANETs), Dynamic source routing (DSR) protocol, Minimum execution time (MET) scheduling, Moth flame optimization (MFO), Optimal route, Telecommunication, TK5101-6720, Electronics, TK7800-8360

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s13638-020-01802-5; https://doaj.org/toc/1687-1499

URL الوصول: https://doaj.org/article/756654752b74418695f7d7486441cfd3

المؤلفون: Ankit Kumar Sharma, Ahmad M. Alshamrani, Khalid A. Alnowibet, Adel F. Alrasheedi, Akash Saxena, Ali Wagdy Mohamed

المصدر: Axioms; Volume 11; Issue 10; Pages: 538

مصطلحات موضوعية: demand side management, demand response, slime mould algorithm (SMA), sine cosine algorithm (SCA), moth–flame optimization (MFO), and whale optimization algorithm (WOA), load shifting, strategic conservation

وصف الملف: application/pdf

Relation: Mathematical Analysis; https://dx.doi.org/10.3390/axioms11100538

الاتاحة: https://doi.org/10.3390/axioms11100538

المؤلفون: Ibrar Ullah, Irshad Hussain, Khalid Rehman, Piotr Wróblewski, Wojciech Lewicki, Balasubramanian Prabhu Kavin

المصدر: Energies; Volume 15; Issue 10; Pages: 3741

مصطلحات موضوعية: load balancing, moth–flame optimization (MFO) algorithm, neutral current reduction, optimization algorithms, practical approach of optimization

وصف الملف: application/pdf

Relation: E: Electric Vehicles; https://dx.doi.org/10.3390/en15103741

الاتاحة: https://doi.org/10.3390/en15103741

المؤلفون: Hanan A. R. Akkar, Sameem A. Salman

المصدر: Engineering and Technology Journal, Vol 38, Iss 2A, Pp 255-264 (2020)

مصطلحات موضوعية: bio-inspired artificial intelligent (ai), moth flame optimization (mfo), ant colony optimization (aco), particle swarm optimization (pso), Science, Technology

وصف الملف: electronic resource

Relation: https://etj.uotechnology.edu.iq/article_168194_9f785e011447b2f50b47f76c540beefb.pdf; https://doaj.org/toc/1681-6900; https://doaj.org/toc/2412-0758

URL الوصول: https://doaj.org/article/ee8c68cf931546799fe0fb480b4a8ffb

المؤلفون: Yufan Wu, Rongling Chen, Chunquan Li, Leyingyue Zhang, Wanxuan Dai

المصدر: IEEE Access, Vol 8, Pp 156378-156393 (2020)

مصطلحات موضوعية: Sine cosine algorithm (SCA), moth flame optimization (MFO), swarm Global optimization, hybrid active power filter (HAPF), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9127900/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/eac2e5b9221f417dbeba53e795b0aeab

المؤلفون: Zhiling Cui, Chunquan Li, Junru Huang, Yufan Wu, Leyingyue Zhang

المصدر: IEEE Access, Vol 8, Pp 142725-142735 (2020)

مصطلحات موضوعية: Moth flame optimization (MFO), swarm intelligence (SI), Lévy-flight, variable cycle engine (VCE), specific fuel consumption (SFC), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9113291/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/bdcda1697cfc431b921ea07f71e087b1

المؤلفون: Shiva Bhatnagar, Sachin Puntambekar

المصدر: Educational Administration: Theory and Practice; Vol. 30 No. 1 (2024); 1735 - 1741 ; 2148-2403 ; 1300-4832

مصطلحات موضوعية: Moth Flame Optimization (MFO), Whale Optimization Algorithm (WOA), Automatic Voltage, Regulator (AVR, Proportional-Integral-Derivative (PID) controller parameters, Dynamic performance, improvement, Power utility, Evolutionary algorithm

وصف الملف: application/pdf

Relation: https://kuey.net/index.php/kuey/article/view/6559/4808; https://kuey.net/index.php/kuey/article/view/6559

الاتاحة: https://kuey.net/index.php/kuey/article/view/6559
https://doi.org/10.53555/kuey.v30i1.6559

المؤلفون: Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, Seyedali Mirjalili, Laith Abualigah, Mohamed Abd Elaziz

المصدر: Processes; Volume 9; Issue 12; Pages: 2276

مصطلحات موضوعية: optimization, metaheuristic algorithms, swarm intelligence algorithm, moth-flame optimization (MFO), exploration and exploitation, population diversity

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Process Control and Supervision; https://dx.doi.org/10.3390/pr9122276

الاتاحة: https://doi.org/10.3390/pr9122276

المؤلفون: Subhojit Dawn, Sadhan Gope, Shreya Shree Das, Taha Selim Ustun

المصدر: Electronics; Volume 10; Issue 21; Pages: 2611

مصطلحات موضوعية: wind farm (WF), pumped hydroelectric storage (PHS) system, market clearing price (MCP), market clearing volume (MCV), generator sensitivity factor (GSF), bus sensitivity factor (BSF), moth flame optimization (MFO) algorithm

وصف الملف: application/pdf

Relation: Power Electronics; https://dx.doi.org/10.3390/electronics10212611

الاتاحة: https://doi.org/10.3390/electronics10212611

المؤلفون: Wang, Lu, Ma, Lei, Wang, Chao, Xie, Neng-gang, Koh, Jin Ming, Cheong, Kang Hao

المصدر: IEEE Transactions on Evolutionary Computation, 25(6), 1091-1102, (2021-12)

مصطلحات موضوعية: Assessment model, influence maximization, moth-flame optimization (MFO), social networks

Relation: https://doi.org/10.1109/tevc.2021.3081478; eprintid:109324

الاتاحة: https://doi.org/10.1109/tevc.2021.3081478

المؤلفون: M. Talaat, Abdulaziz S. Alsayyari, M. A. Farahat, Taghreed Said

المصدر: IEEE Access, Vol 7, Pp 3836-3847 (2019)

مصطلحات موضوعية: Artificial intelligence, moth-flame optimization (MFO), particle swarm optimization (PSO), genetic algorithm (GA), dielectric barrier, electric field simulation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8587247/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/935da854d06a4d6693d8cb181875a301

المؤلفون: Husein S. Naji Alwerfali, Mohamed Abd Elaziz, Mohammed A. A. Al-Qaness, Aaqif Afzaal Abbasi, Songfeng Lu, Fang Liu, Li Li

المصدر: IEEE Access, Vol 7, Pp 181405-181422 (2019)

مصطلحات موضوعية: Image segmentation, multi-level thresholding, salp swarm algorithm (SSA), moth-flame optimization (MFO), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8932356/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/330950d56c574de0bce658b21ab392cc

المؤلفون: G Vimala Kumari, G Sasibhushana Rao, B Prabhakara Rao

المصدر: Image Analysis and Stereology, Vol 37, Iss 3, Pp 249-275 (2018)

مصطلحات موضوعية: Bacteria Foraging Optimization Algorithm (BFOA), Grey Wolf Optimization (GWO), Kapur’s entropy, Moth-flame Optimization (MFO) Algorithm, Particle Swarm Optimization (PSO), Renyi’s entropy, Medicine (General), R5-920, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://www.ias-iss.org/ojs/IAS/article/view/1865; https://doaj.org/toc/1580-3139; https://doaj.org/toc/1854-5165

URL الوصول: https://doaj.org/article/715e3570c7084681a4d16b3356fed259