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1. Identificação
Tipo de ReferênciaCapítulo de Livro (Book Section)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/474P4BA
Repositóriosid.inpe.br/plutao/2022/06.15.13.10.47   (acesso restrito)
Última Atualização2022:07.05.14.05.16 (UTC) simone
Repositório de Metadadossid.inpe.br/plutao/2022/06.15.13.10.48
Última Atualização dos Metadados2023:01.03.16.52.56 (UTC) administrator
DOI10.1007/978-981-19-0332-8_10
ISBN9789811903
Rótulolattes: 5039690360728170 1 SantiagoJúniorSale:2022:MeHyBa
Chave de CitaçãoSantiagoJúniorSale:2022:MeHyBa
TítuloMetaheuristics and Hyper-heuristics Based on Evolutionary Algorithms for Software Integration Testing
Ano2022
Data de Acesso29 jun. 2024
Tipo SecundárioPRE LI
Número de Arquivos1
Tamanho334 KiB
2. Contextualização
Autor1 Santiago Júnior, Valdivino Alexandre de
2 Sales, Camila Pereira
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJB5
Grupo1 COPDT-CGIP-INPE-MCTI-GOV-BR
2 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 valdivino.santiago@inpe.br
2 camilapsales27@gmail.com
EditorUddin, M. S.
Jamwal, P. K.
Bansal, J. C.
Título do LivroProceedings of International Joint Conference on Advances in Computational Intelligence
Editora (Publisher)Springer Nature Singapore
CidadeSingapore
Volume1
Páginas131-151
Histórico (UTC)2022-06-20 16:58:03 :: lattes -> administrator :: 2022
2022-07-08 16:52:55 :: administrator -> simone :: 2022
2022-07-09 19:58:59 :: simone -> administrator :: 2022
2023-01-03 16:52:56 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveMetaheuristics
Hyper-heuristics
Software Integration Testing
Controlled Experiment
Optimisation
ResumoHyper-heuristics have been identified as optimisation algorithms that would have better generalisation capabilities than metaheuristics. In this article, we present a controlled experiment that evaluates four metaheuristics (evolutionary algorithms), two multi-objective (SPEA2, IBEA) and two many-objective (NSGA-III, MOMBI-II), and three selection hyper-heuristics (HRISE_R, HRISE_M, Choice Function) for the software integration testing problem. We relied on and improved our previous method which aims at generating integration test cases based on C++ source code and optimisation algorithms. Considering three different quality indicators and two types of evaluations (cross-domain and statistical analyses), results demonstrate that, for the algorithms and case studies considered in this research, classical metaheuristics, such as SPEA2 and IBEA, performed better compared to not only the most recent many-objective algorithms but also to the hyper-heuristics. This conclusion, based on empirical evidences, seems to be related to the well-known no free lunch theorems which assert that any two algorithms are equivalent when their performances are averaged across all possible problems. Hence, we claim that it is needed to carry out more rigorous experiments, in the context of optimisation, to better answer the question of generalisation in practical terms.
ÁreaCOMP
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoPaper 1_Metaheuristics_Oficial.pdf
Grupo de Usuárioslattes
self-uploading-INPE-MCTI-GOV-BR
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F2PHGS
8JMKD3MGPCW/46KUES5
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator url
7. Controle da descrição
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