Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Dania Tamayo Vera"'
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).
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
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
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319920573
IEA/AIE
IEA/AIE
Exploration and exploitation are analyzed in Particle Swarm Optimization (PSO) through a set of experiments that make new measurements of these key features. Compared to analyses on diversity and particle trajectories, which focus on particle motions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea41907d3cd86d6820bfcfedd0fbebd9
https://doi.org/10.1007/978-3-319-92058-0_41
https://doi.org/10.1007/978-3-319-92058-0_41
Publikováno v:
CEC
Optimization in multi-modal search spaces requires both exploration and exploitation. The role of exploration is to find promising attraction basins, and the role of exploitation is to find the best solutions (i.e. the local optima) within these attr