Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms

In this paper, we study a parallelization of CHC algorithm (Crossover elitism population, Half uniform crossover combination, Cataclysm mutation) to solve the problem of placement of wind turbines in a wind farm. We also analyze the solutions obtained when we use both, the sequential and parallel ve...

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Detalles Bibliográficos
Autores principales: Bilbao, Martín, Leguizamón, Guillermo
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2019
Materias:
Ciencias Informáticas
Wind Energy
Weibull Distribution
Wind Power
Evolutionary Computation
Metaheuristics
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/90896
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-90896
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Wind Energy
Weibull Distribution
Wind Power
Evolutionary Computation
Metaheuristics
spellingShingle Ciencias Informáticas
Wind Energy
Weibull Distribution
Wind Power
Evolutionary Computation
Metaheuristics
Bilbao, Martín
Leguizamón, Guillermo
Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms
topic_facet Ciencias Informáticas
Wind Energy
Weibull Distribution
Wind Power
Evolutionary Computation
Metaheuristics
description In this paper, we study a parallelization of CHC algorithm (Crossover elitism population, Half uniform crossover combination, Cataclysm mutation) to solve the problem of placement of wind turbines in a wind farm. We also analyze the solutions obtained when we use both, the sequential and parallel version for the CHC algorithm. In this case we study the behavior of parallel metaheuristics using an island model to distribute the algorithm in different cores and compare this proposal with the sequential version to analyse the number of evaluation to find the best configuration, output power extracted, plant coefficient, evaluations needed, memory consumption, and execution time for different number of core and different problem sizes.
format Objeto de conferencia
Objeto de conferencia
author Bilbao, Martín
Leguizamón, Guillermo
author_facet Bilbao, Martín
Leguizamón, Guillermo
author_sort Bilbao, Martín
title Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms
title_short Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms
title_full Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms
title_fullStr Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms
title_full_unstemmed Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms
title_sort multicore parallelization of chc for optimal aerogenerator placement in wind farms
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/90896
work_keys_str_mv AT bilbaomartin multicoreparallelizationofchcforoptimalaerogeneratorplacementinwindfarms
AT leguizamonguillermo multicoreparallelizationofchcforoptimalaerogeneratorplacementinwindfarms
bdutipo_str Repositorios
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