Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Dania Tamayo Vera"'
Publikováno v:
Agriculture, Vol 14, Iss 3, p 481 (2024)
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the curren
Externí odkaz:
https://doaj.org/article/9b141c3a4313463e8410e055210032a6
Publikováno v:
Environmental Research Communications, Vol 6, Iss 10, p 105025 (2024)
Accurate prediction of potato yield is essential for informed agricultural decision-making, ensuring food security, and supporting farmers’ livelihoods. This is particularly critical in regions like Prince Edward Island (PEI), where potato producti
Externí odkaz:
https://doaj.org/article/3c175f2c88084f1c81c1c1a9e35b0156
Publikováno v:
GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, Vol 7, Iss 2 (2023)
Minimum Population Search is a recently developed metaheuristic for optimization of mono- objective continuous problems, which has proven to be a very effective optimizing large scale and multi-modal problems. One of its key characteristic is the abi
Externí odkaz:
https://doaj.org/article/1bcae7287e5d47a68dc9246e4cb8a90b
Publikováno v:
GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, Vol 4, Iss 1 (2023)
Los problemas lineales con restricciones de equilibrio son un caso particular de los modelos de optimización con restricciones de equilibrio. Debido a la complejidad que presentan, la condición de equilibrio se sustituye por condiciones necesarias
Externí odkaz:
https://doaj.org/article/3fd7f7f575444375a284ef4193860ee6
Publikováno v:
GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, Vol 7, Iss 2, Pp 1-19 (2019)
Minimum Population Search is a recently developed metaheuristic for optimization of mono-objective continuous problems, which has proven to be a very effective optimizing large scale and multi-modal problems. One of its key characteristic is the abil
Externí odkaz:
https://doaj.org/article/7aed1b93484542428de512f8ddc8243a
Publikováno v:
GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, Vol 4, Iss 1, Pp 46-57 (2016)
Spanish abstract Los problemas lineales con restricciones de equilibrio son un caso particular de los modelos de optimización con restricciones de equilibrio. Debido a la complejidad que presentan, la condición de equilibrio se sustituye por condi
Externí odkaz:
https://doaj.org/article/31e291a5237c468a84f303d9b2fe5b18
Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfb6c768280de88136ed37cdfe21303e
https://doi.org/10.1109/cec55065.2022.9870409
https://doi.org/10.1109/cec55065.2022.9870409
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:5139-5152
Recent research has consistently shown that the concurrence between exploration and exploitation can significantly limit the effectiveness of exploration on heuristic search. This has led to the design of hybrid algorithms that separate both task and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2fd0fc789dbc89738e770664b94478
https://doi.org/10.1007/s12652-020-01829-y
https://doi.org/10.1007/s12652-020-01829-y
Publikováno v:
CEC
Two factors affect the effectiveness of exploration, the bias introduced by selection and the concurrence of exploration and exploitation. The Leaders and Followers metaheuristic was designed to reduce the bias from selection by using a two-populatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82b674afa3b93ba8126a468e2d920dcc
https://doi.org/10.1109/cec45853.2021.9504812
https://doi.org/10.1109/cec45853.2021.9504812
Publikováno v:
CEC
Minimum Population Search is a recently developed metaheuristic specifically designed to optimize high dimensional multi-modal functions. In this paper, Minimum Population Search is evaluated on the test functions provided for the 2013 LSGO competiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75582c7551415cc144ad5e595ab9d1a9
https://doi.org/10.1109/cec.2019.8789978
https://doi.org/10.1109/cec.2019.8789978