Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Hoda Zamani"'
Autor:
Mohammad H Nadimi-Shahraki, Shokooh Taghian, Hoda Zamani, Seyedali Mirjalili, Mohamed Abd Elaziz
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280006 (2023)
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in which the single evolution strategy and the control parameter affect the convergence and the balance between exploration and exploitation. Since evolution strate
Externí odkaz:
https://doaj.org/article/0556c892e393420d89d03cd2785514f2
Publikováno v:
Mathematics, Vol 11, Iss 4, p 862 (2023)
Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is widely used to solve different optimization problems. However, MFO and its variants inherently suffer from poor population diversity, leading to premature con
Externí odkaz:
https://doaj.org/article/99f0496e4bc04bc79e6e0b9d4a5d0701
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 564 (2022)
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been propose
Externí odkaz:
https://doaj.org/article/bf249f810ad149b3978449fb3b4cb10b
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2770 (2022)
Many metaheuristic approaches have been developed to select effective features from different medical datasets in a feasible time. However, most of them cannot scale well to large medical datasets, where they fail to maximize the classification accur
Externí odkaz:
https://doaj.org/article/1b9a23ec6f054bf5bb7089615c25b621
Autor:
Seied Saeid Modarres Najafabadi, Abdoolnabi Bagheri, Majeed Askari Siahooei, Hoda Zamani, Azadeh Goodarzi
Publikováno v:
Journal of Crop Protection, Vol 7, Iss 1, Pp 51-63 (2018)
The effect of thyme Thymus vulgaris L. androsemary Rosmarinus officinalis (L.) essential oils on life table parameters of red rose aphid Macrosiphum rosae (L.) oncut flower rose Rosa hybrida L. were investigated in laboratory conditions (27 ± 2 oC,
Externí odkaz:
https://doaj.org/article/ea0f9a755454497492994336b0e58059
Publikováno v:
Entropy, Vol 23, Iss 12, p 1637 (2021)
Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths toward the light source is an effective approach to solve global optimization problems. However, the MFO algorithm suffers from issues such as premature convergen
Externí odkaz:
https://doaj.org/article/8439cb372f6246289f872703d44c64ef
Autor:
Mohammad H. Nadimi-Shahraki, Mahdis Banaie-Dezfouli, Hoda Zamani, Shokooh Taghian, Seyedali Mirjalili
Publikováno v:
Computers, Vol 10, Iss 11, p 136 (2021)
Advancements in medical technology have created numerous large datasets including many features. Usually, all captured features are not necessary, and there are redundant and irrelevant features, which reduce the performance of algorithms. To tackle
Externí odkaz:
https://doaj.org/article/b114659a5c654ecdb3646531bfc5b459
Autor:
Farhad Soleimanian Gharehchopogh, Mohammad H. Nadimi-Shahraki, Saeid Barshandeh, Benyamin Abdollahzadeh, Hoda Zamani
Publikováno v:
Journal of Bionic Engineering. 20:158-183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78226a0e12b406d92ac5377cad3c8516
https://doi.org/10.1007/s42235-022-00255-4
https://doi.org/10.1007/s42235-022-00255-4
Publikováno v:
Archives of Computational Methods in Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::198f3f4b40e6ba016b6295fe1ea51c90
https://doi.org/10.1007/s11831-023-09928-7
https://doi.org/10.1007/s11831-023-09928-7
Publikováno v:
Electronics; Volume 11; Issue 5; Pages: 831
The optimal power flow (OPF) is a practical problem in a power system with complex characteristics such as a large number of control parameters and also multi-modal and non-convex objective functions with inequality and nonlinear constraints. Thus, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f67d420a9be292a0e3ee05e34c48643d