Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ragalo A"'
Autor:
Elizabeth A. Odundo, Erick C. Kipkirui, Margaret C. Koech, Mary C. Kirui, Ronald K. Kirera, Nancy C. Kipkemoi, Janet N. Ndonye, Alex Ragalo, Collins K. Kigen, James W. Muturi, Vanessa N. Onyonyi, Gathii Kimita, Erick K. Muthanje, Marissa K. Hetrich, Evelyn W. Mahugu, Kirti K. Tiwari, Hunter J. Smith
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 14, Pp 86-93 (2024)
Escherichia coli and Shigella spp. are leading bacterial causes of acute diarrhea in sub-Saharan Africa and pose risks to global communities, travelers, and the US military. Increasing antimicrobial resistance (AMR) in those and other enteric pathoge
Externí odkaz:
https://doaj.org/article/d99470e34d7c4b779acc0f5d87399d77
Autor:
Ragalo, Anisa, Pillay, Nelishia
Publikováno v:
In Expert Systems With Applications 1 November 2018 109:162-187
Autor:
Ragalo, Anisa, Pillay, Nelishia
Publikováno v:
In Expert Systems With Applications February 2018 92:52-72
Akademický článek
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Autor:
Anisa Waganda Ragalo
Publikováno v:
South African Computer Journal, Vol 0, Iss 51 (2013)
This paper proposes Polyandry, a new nature-inspired modification to canonical Genetic Programming (GP). Polyandry aims to improve evolvability in GP. Evolvability is a critically important GP trait, the maintenance of which determines the arrival of
Externí odkaz:
https://doaj.org/article/a46b578af11a49d999d246ab9ea8be2b
Autor:
Nelishia Pillay, Anisa W. Ragalo
Publikováno v:
Expert Systems with Applications. 109:162-187
This research builds on the hypothesis that the use of different fitness measures on the different generations of genetic programming (GP) is more effective than the convention of applying the same fitness measure individually throughout GP. Whereas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdf3b4d6ac63e175ea127d361602d564
https://doi.org/10.1016/j.eswa.2018.03.060
https://doi.org/10.1016/j.eswa.2018.03.060
Autor:
Anisa W. Ragalo, Nelishia Pillay
Publikováno v:
Expert Systems with Applications. 92:52-72
This research investigates the hypothesis that the use of different fitness measures at the different generations of genetic programming (GP) is more effective than the convention of applying the same fitness measure individually throughout GP. A gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f63e79d2e2df79d07c9691b4a6ad556
https://doi.org/10.1016/j.eswa.2017.08.022
https://doi.org/10.1016/j.eswa.2017.08.022
Autor:
Anisa W. Ragalo, Nelishia Pillay
Publikováno v:
ISDA
This manuscript proposes a hyper-heuristic approach towards mitigating Premature Convergence caused by objective fitness in Genetic Programming (GP). The objective fitness function used in standard GP has the potential to profoundly exacerbate Premat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0b2b939ac3df7c3b19ad73658d46026
https://doi.org/10.1109/isda.2014.7066272
https://doi.org/10.1109/isda.2014.7066272
Autor:
Nelishia Pillay, Anisa W. Ragalo
Publikováno v:
South African Computer Journal. 51
This paper proposes Polyandry, a new nature-inspired modification to canonical Genetic Programming (GP). Polyandry aims to improve evolvability in GP. Evolvability is a critically important GP trait, the maintenance of which determines the arrival of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16dc0e5298b557bb6ad6d03efba03829
https://doi.org/10.18489/sacj.v51i0.170
https://doi.org/10.18489/sacj.v51i0.170
Autor:
Anisa W. Ragalo, Nelishia Pillay
Publikováno v:
NaBIC
Polynomial Symbolic Regression tree-based Genetic Programming faces considerable obstacles towards the discovery of a global optimum solution; three of these being bloat, premature convergence and a compromised ability to retain building block inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bce4becf565388e06cbbbe6d69417a
https://doi.org/10.1109/nabic.2012.6402250
https://doi.org/10.1109/nabic.2012.6402250