Orbital maneuvers for asteroids using genetic algorithm

Detalhes bibliográficos
Autor(a) principal: Neves, Guilherme M. [UNESP]
Data de Publicação: 2019
Outros Autores: Dos Santos, Denilson P. S. [UNESP], Domingos, Rita C. [UNESP], Formiga, Jorge K. S. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1088/1742-6596/1365/1/012019
http://hdl.handle.net/11449/198278
Resumo: Near Earth objects (NEOs) are comets and asteroids that orbit the vicinity of the Earth. The scientific interest in comets and asteroids is due in large part to their status as remnants remaining relatively unchanged from the process of forming the solar system some 4.6 billion years ago, and some asteroids are made of precious metals such as platinum. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as heredity, mutation, natural selection, and recombination. They can also be defined as global optimization algorithms and model a solution to a specific problem. This method provides a way to find solutions to problems that would be unlikely to be analytically feasible. The present work aims to use this method to optimize the consumption of fuel in Rendezvous maneuvers in interplanetary missions in a context where one wishes to send a probe to an asteroid to study it.
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spelling Orbital maneuvers for asteroids using genetic algorithmNear Earth objects (NEOs) are comets and asteroids that orbit the vicinity of the Earth. The scientific interest in comets and asteroids is due in large part to their status as remnants remaining relatively unchanged from the process of forming the solar system some 4.6 billion years ago, and some asteroids are made of precious metals such as platinum. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as heredity, mutation, natural selection, and recombination. They can also be defined as global optimization algorithms and model a solution to a specific problem. This method provides a way to find solutions to problems that would be unlikely to be analytically feasible. The present work aims to use this method to optimize the consumption of fuel in Rendezvous maneuvers in interplanetary missions in a context where one wishes to send a probe to an asteroid to study it.UNESP Campus de São João da Boa Vista - SPUNESP Campus de São José Dos Campos - SPUNESP Campus de São João da Boa Vista - SPUNESP Campus de São José Dos Campos - SPUniversidade Estadual Paulista (Unesp)Neves, Guilherme M. [UNESP]Dos Santos, Denilson P. S. [UNESP]Domingos, Rita C. [UNESP]Formiga, Jorge K. S. [UNESP]2020-12-12T01:08:23Z2020-12-12T01:08:23Z2019-11-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1088/1742-6596/1365/1/012019Journal of Physics: Conference Series, v. 1365, n. 1, 2019.1742-65961742-6588http://hdl.handle.net/11449/19827810.1088/1742-6596/1365/1/0120192-s2.0-85076508088Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Physics: Conference Seriesinfo:eu-repo/semantics/openAccess2021-10-23T10:11:23Zoai:repositorio.unesp.br:11449/198278Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:51:58.360449Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Orbital maneuvers for asteroids using genetic algorithm
title Orbital maneuvers for asteroids using genetic algorithm
spellingShingle Orbital maneuvers for asteroids using genetic algorithm
Neves, Guilherme M. [UNESP]
title_short Orbital maneuvers for asteroids using genetic algorithm
title_full Orbital maneuvers for asteroids using genetic algorithm
title_fullStr Orbital maneuvers for asteroids using genetic algorithm
title_full_unstemmed Orbital maneuvers for asteroids using genetic algorithm
title_sort Orbital maneuvers for asteroids using genetic algorithm
author Neves, Guilherme M. [UNESP]
author_facet Neves, Guilherme M. [UNESP]
Dos Santos, Denilson P. S. [UNESP]
Domingos, Rita C. [UNESP]
Formiga, Jorge K. S. [UNESP]
author_role author
author2 Dos Santos, Denilson P. S. [UNESP]
Domingos, Rita C. [UNESP]
Formiga, Jorge K. S. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Neves, Guilherme M. [UNESP]
Dos Santos, Denilson P. S. [UNESP]
Domingos, Rita C. [UNESP]
Formiga, Jorge K. S. [UNESP]
description Near Earth objects (NEOs) are comets and asteroids that orbit the vicinity of the Earth. The scientific interest in comets and asteroids is due in large part to their status as remnants remaining relatively unchanged from the process of forming the solar system some 4.6 billion years ago, and some asteroids are made of precious metals such as platinum. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as heredity, mutation, natural selection, and recombination. They can also be defined as global optimization algorithms and model a solution to a specific problem. This method provides a way to find solutions to problems that would be unlikely to be analytically feasible. The present work aims to use this method to optimize the consumption of fuel in Rendezvous maneuvers in interplanetary missions in a context where one wishes to send a probe to an asteroid to study it.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-04
2020-12-12T01:08:23Z
2020-12-12T01:08:23Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1088/1742-6596/1365/1/012019
Journal of Physics: Conference Series, v. 1365, n. 1, 2019.
1742-6596
1742-6588
http://hdl.handle.net/11449/198278
10.1088/1742-6596/1365/1/012019
2-s2.0-85076508088
url http://dx.doi.org/10.1088/1742-6596/1365/1/012019
http://hdl.handle.net/11449/198278
identifier_str_mv Journal of Physics: Conference Series, v. 1365, n. 1, 2019.
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1742-6588
10.1088/1742-6596/1365/1/012019
2-s2.0-85076508088
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Physics: Conference Series
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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