Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Keyvan Golalipour"'
Autor:
Keyvan Golalipour, Saber Arabi Nowdeh, Ebrahim Akbari, Seyed Saeed Hamidi, Danyal Ghasemi, Almoataz Y. Abdelaziz, Hossam Kotb, Amr Yousef
Publikováno v:
Alexandria Engineering Journal, Vol 83, Iss , Pp 257-285 (2023)
This paper proposes a novel efficient inspired algorithm based on snow avalanches in nature which is named the Snow Avalanches Algorithm (SAA), for solving the benchmark and engineering optimization problems and determining the global solution. The p
Externí odkaz:
https://doaj.org/article/1323970a161a43e0ad6a78fa4e4d4512
Autor:
Keyvan Golalipour, Iraj Faraji Davoudkhani, Shohreh Nasri, Amirreza Naderipour, Seyedali Mirjalili, Almoataz Y. Abdelaziz, Adel El-Shahat
Publikováno v:
Alexandria Engineering Journal, Vol 78, Iss , Pp 614-642 (2023)
In this paper, a new and effective meta-heuristic method named corona-virus search optimizer (CVSO) is proposed inspired based on the movement and search of the corona-virus among different societies, prevalence, and death of individuals. The CVSO ha
Externí odkaz:
https://doaj.org/article/86adca68896b4098b6729057fb4f0b1e
Autor:
Keyvan Golalipour
Publikováno v:
Multimedia Tools and Applications. 82:725-746
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb96fe23ca677676643ffc84990f9001
https://doi.org/10.1007/s11042-022-12883-3
https://doi.org/10.1007/s11042-022-12883-3
Autor:
Mohsen Zare, Mojtaba Ghasemi, Amir Zahedi, Keyvan Golalipour, Soleiman Kadkhoda Mohammadi, Seyedali Mirjalili, Laith Abualigah
Publikováno v:
Journal of Bionic Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92ecc78ffecc9f4b01e1c3cae6b3d89d
https://doi.org/10.1007/s42235-023-00386-2
https://doi.org/10.1007/s42235-023-00386-2
Autor:
Lucia Cavallaro, Pasquale De Meo, Keyvan Golalipour, Xiaoyang Liu, Giacomo Fiumara, Andrea Tagarelli, Antonio Liotta
Publikováno v:
Complex Networks and Their Applications XI ISBN: 9783031211300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24429801a50e0556e6a21e50b5599df
https://doi.org/10.1007/978-3-031-21131-7_34
https://doi.org/10.1007/978-3-031-21131-7_34
Publikováno v:
Mirzaei, M, Keypour, R, Savaghebi, M & Golalipour, K 2020, ' Probabilistic Optimal Bi-level Scheduling of a Multi-Microgrid System with Electric Vehicles ', Journal of Electrical Engineering & Technology, vol. 15, no. 6, pp. 2421-2436 . https://doi.org/10.1007/s42835-020-00504-8
In this paper, an efficient energy management system (EMS) is proposed for optimal operation of multiple electrically coupled microgrids (MGs). A new bi-level EMS is employed as an enhanced technique to coordinate vehicle-to-grid (V2G) operation of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dba1bcc323cc123a3b21172e68670fc2
https://doi.org/10.1007/s42835-020-00504-8
https://doi.org/10.1007/s42835-020-00504-8
Publikováno v:
Engineering Applications of Artificial Intelligence. 104:104388
Clustering, as an unsupervised learning, is aimed at discovering the natural groupings of a set of patterns, points, or objects. In clustering algorithms, a significant problem is the absence of a deterministic approach based on which users can decid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bc9fb71ab1f4f85a7d485fd742d32dd
https://doi.org/10.1016/j.engappai.2021.104388
https://doi.org/10.1016/j.engappai.2021.104388