Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization

In this work, we present a new algorithm (AJSO) for high-dimensional single objective problems. It is well known that nding high quality solutions is still a challenge for complex problems like those found in the literature as well as in real world concerning Smart Grids scenarios. Our proposal AJS...

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Autores principales: Loor, Fabricio, Leguizamón, M. Guillermo, Mezura-Montes, Efrén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Optimization
Smart Grids
Metaheuristics
Differential Evolution
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/114206
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-114206
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Optimization
Smart Grids
Metaheuristics
Differential Evolution
spellingShingle Ciencias Informáticas
Optimization
Smart Grids
Metaheuristics
Differential Evolution
Loor, Fabricio
Leguizamón, M. Guillermo
Mezura-Montes, Efrén
Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization
topic_facet Ciencias Informáticas
Optimization
Smart Grids
Metaheuristics
Differential Evolution
description In this work, we present a new algorithm (AJSO) for high-dimensional single objective problems. It is well known that nding high quality solutions is still a challenge for complex problems like those found in the literature as well as in real world concerning Smart Grids scenarios. Our proposal AJSO is an improvement on a state-of-the-art differential Evolution (DE) based algorithm known as SHADE. More speci cally, AJSO implements two novel mutation strategies and also incorporates a mechanism for mantaining and taking good solutions from a special archive when a particular condition during the exploration process is de- tected. To compare the performance of AJSO, the benchmark given in the WCCI/GECCO 2020 is used. This challenge consisted of opti- mization problems represented in two testbeds of Smart Grids problems. In this paper we adopted the guidelines given in the WCCI/GECCO 2020 competition. Experimental results show that AJSO outperforms SHADE in the two studied testbeds.
format Objeto de conferencia
Objeto de conferencia
author Loor, Fabricio
Leguizamón, M. Guillermo
Mezura-Montes, Efrén
author_facet Loor, Fabricio
Leguizamón, M. Guillermo
Mezura-Montes, Efrén
author_sort Loor, Fabricio
title Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization
title_short Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization
title_full Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization
title_fullStr Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization
title_full_unstemmed Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization
title_sort smart grids challenge: a competitive variant for single objective numerical optimization
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/114206
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AT leguizamonmguillermo smartgridschallengeacompetitivevariantforsingleobjectivenumericaloptimization
AT mezuramontesefren smartgridschallengeacompetitivevariantforsingleobjectivenumericaloptimization
bdutipo_str Repositorios
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