Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

Detalhes bibliográficos
Autor(a) principal: Maier, H.R.
Data de Publicação: 2014
Outros Autores: Kapelan, Z., Kasprzyk, J., Kollat, J., Matott, L.S., Cunha, M. C., Dandy, G. C., Gibbs, M. S., Keedwell, E., Marchi, A., Ostfeld, A., Savic, D., Solomatine, D. P., Vrugt, J. A., Zecchin, A. C., Minsker, B. S., Barbour, E. J., Kuczera, G., Pasha, F., Castelletti, A., Giuliani, M., Reed, P. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/46684
https://doi.org/10.1016/j.envsoft.2014.09.013
Resumo: The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.
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spelling Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directionsOptimisationWater resourcesEvolutionary algorithmsMetaheuristicsReviewResearch directionsThe authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g. model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts.Elsevier2014-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/46684http://hdl.handle.net/10316/46684https://doi.org/10.1016/j.envsoft.2014.09.013eng1364-8152https://www.sciencedirect.com/science/article/pii/S1364815214002679Maier, H.R.Kapelan, Z.Kasprzyk, J.Kollat, J.Matott, L.S.Cunha, M. C.Dandy, G. C.Gibbs, M. S.Keedwell, E.Marchi, A.Ostfeld, A.Savic, D.Solomatine, D. P.Vrugt, J. A.Zecchin, A. C.Minsker, B. S.Barbour, E. J.Kuczera, G.Pasha, F.Castelletti, A.Giuliani, M.Reed, P. M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-10-25T11:17:37Zoai:estudogeral.uc.pt:10316/46684Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:18.385366Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
title Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
spellingShingle Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
Maier, H.R.
Optimisation
Water resources
Evolutionary algorithms
Metaheuristics
Review
Research directions
title_short Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
title_full Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
title_fullStr Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
title_full_unstemmed Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
title_sort Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
author Maier, H.R.
author_facet Maier, H.R.
Kapelan, Z.
Kasprzyk, J.
Kollat, J.
Matott, L.S.
Cunha, M. C.
Dandy, G. C.
Gibbs, M. S.
Keedwell, E.
Marchi, A.
Ostfeld, A.
Savic, D.
Solomatine, D. P.
Vrugt, J. A.
Zecchin, A. C.
Minsker, B. S.
Barbour, E. J.
Kuczera, G.
Pasha, F.
Castelletti, A.
Giuliani, M.
Reed, P. M.
author_role author
author2 Kapelan, Z.
Kasprzyk, J.
Kollat, J.
Matott, L.S.
Cunha, M. C.
Dandy, G. C.
Gibbs, M. S.
Keedwell, E.
Marchi, A.
Ostfeld, A.
Savic, D.
Solomatine, D. P.
Vrugt, J. A.
Zecchin, A. C.
Minsker, B. S.
Barbour, E. J.
Kuczera, G.
Pasha, F.
Castelletti, A.
Giuliani, M.
Reed, P. M.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Maier, H.R.
Kapelan, Z.
Kasprzyk, J.
Kollat, J.
Matott, L.S.
Cunha, M. C.
Dandy, G. C.
Gibbs, M. S.
Keedwell, E.
Marchi, A.
Ostfeld, A.
Savic, D.
Solomatine, D. P.
Vrugt, J. A.
Zecchin, A. C.
Minsker, B. S.
Barbour, E. J.
Kuczera, G.
Pasha, F.
Castelletti, A.
Giuliani, M.
Reed, P. M.
dc.subject.por.fl_str_mv Optimisation
Water resources
Evolutionary algorithms
Metaheuristics
Review
Research directions
topic Optimisation
Water resources
Evolutionary algorithms
Metaheuristics
Review
Research directions
description The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/46684
http://hdl.handle.net/10316/46684
https://doi.org/10.1016/j.envsoft.2014.09.013
url http://hdl.handle.net/10316/46684
https://doi.org/10.1016/j.envsoft.2014.09.013
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1364-8152
https://www.sciencedirect.com/science/article/pii/S1364815214002679
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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