Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms.
<p>Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852019668227719168 |
|---|---|
| author | Roberto Castro-Medina (21484990) |
| author2 | Miguel Gabriel Villarreal-Cervantes (21484993) Leonel Germán Corona-Ramírez (21484996) Geovanni Flores-Caballero (21484999) Alejandro Rodríguez-Molina (6506204) Ramón Silva-Ortigoza (11421101) Víctor Darío Cuervo-Pinto (21485002) Andrés Abraham Palma-Huerta (21485005) |
| author2_role | author author author author author author author |
| author_facet | Roberto Castro-Medina (21484990) Miguel Gabriel Villarreal-Cervantes (21484993) Leonel Germán Corona-Ramírez (21484996) Geovanni Flores-Caballero (21484999) Alejandro Rodríguez-Molina (6506204) Ramón Silva-Ortigoza (11421101) Víctor Darío Cuervo-Pinto (21485002) Andrés Abraham Palma-Huerta (21485005) |
| author_role | author |
| dc.creator.none.fl_str_mv | Roberto Castro-Medina (21484990) Miguel Gabriel Villarreal-Cervantes (21484993) Leonel Germán Corona-Ramírez (21484996) Geovanni Flores-Caballero (21484999) Alejandro Rodríguez-Molina (6506204) Ramón Silva-Ortigoza (11421101) Víctor Darío Cuervo-Pinto (21485002) Andrés Abraham Palma-Huerta (21485005) |
| dc.date.none.fl_str_mv | 2025-06-04T17:31:16Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0325168.t008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Summary_of_descriptive_statistics_in_for_the_optimization_process_of_thirty_executions_with_different_bioinspired_algorithms_/29238268 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Biotechnology Ecology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified thereby reducing risks optimal parameterization obtained robot &# 8217 particle swarm optimization freedom serial robot behavior closely resembles model &# 8217 another electromechanical system widely adopted due particularly robotic ones methodology &# 8217 developing control strategies robot model demonstrated inspired optimization techniques mil simulation environment model parameterization approach dynamic model parameters model parameterization inspired optimization dynamic parameters robotic systems particularly well enables simulation behavior accurately simulated model model characteristics inspired algorithms dynamic systems conservative model proposed approach holistic approach approach formulates system design real system physical system xlink "> work proposes wide range specialized real realistic simulations real plant reaction force proposed method practical models optimization problem mil ), inherent properties hil ), genetic algorithm fully leverage |
| dc.title.none.fl_str_mv | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_d374e0b5bb470bcdfef3efeee3fc9271 |
| identifier_str_mv | 10.1371/journal.pone.0325168.t008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29238268 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms.Roberto Castro-Medina (21484990)Miguel Gabriel Villarreal-Cervantes (21484993)Leonel Germán Corona-Ramírez (21484996)Geovanni Flores-Caballero (21484999)Alejandro Rodríguez-Molina (6506204)Ramón Silva-Ortigoza (11421101)Víctor Darío Cuervo-Pinto (21485002)Andrés Abraham Palma-Huerta (21485005)MedicineBiotechnologyEcologyComputational BiologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedthereby reducing risksoptimal parameterization obtainedrobot &# 8217particle swarm optimizationfreedom serial robotbehavior closely resemblesmodel &# 8217another electromechanical systemwidely adopted dueparticularly robotic onesmethodology &# 8217developing control strategiesrobot model demonstratedinspired optimization techniquesmil simulation environmentmodel parameterization approachdynamic model parametersmodel parameterizationinspired optimizationdynamic parametersrobotic systemsparticularly wellenables simulationbehavior accuratelysimulated modelmodel characteristicsinspired algorithmsdynamic systemsconservative modelproposed approachholistic approachapproach formulatessystem designreal systemphysical systemxlink ">work proposeswide rangespecialized realrealistic simulationsreal plantreaction forceproposed methodpractical modelsoptimization problemmil ),inherent propertieshil ),genetic algorithmfully leverage<p>Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms.</p>2025-06-04T17:31:16ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0325168.t008https://figshare.com/articles/dataset/Summary_of_descriptive_statistics_in_for_the_optimization_process_of_thirty_executions_with_different_bioinspired_algorithms_/29238268CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292382682025-06-04T17:31:16Z |
| spellingShingle | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. Roberto Castro-Medina (21484990) Medicine Biotechnology Ecology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified thereby reducing risks optimal parameterization obtained robot &# 8217 particle swarm optimization freedom serial robot behavior closely resembles model &# 8217 another electromechanical system widely adopted due particularly robotic ones methodology &# 8217 developing control strategies robot model demonstrated inspired optimization techniques mil simulation environment model parameterization approach dynamic model parameters model parameterization inspired optimization dynamic parameters robotic systems particularly well enables simulation behavior accurately simulated model model characteristics inspired algorithms dynamic systems conservative model proposed approach holistic approach approach formulates system design real system physical system xlink "> work proposes wide range specialized real realistic simulations real plant reaction force proposed method practical models optimization problem mil ), inherent properties hil ), genetic algorithm fully leverage |
| status_str | publishedVersion |
| title | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| title_full | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| title_fullStr | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| title_full_unstemmed | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| title_short | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| title_sort | Summary of descriptive statistics in for the optimization process of thirty executions with different bioinspired algorithms. |
| topic | Medicine Biotechnology Ecology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified thereby reducing risks optimal parameterization obtained robot &# 8217 particle swarm optimization freedom serial robot behavior closely resembles model &# 8217 another electromechanical system widely adopted due particularly robotic ones methodology &# 8217 developing control strategies robot model demonstrated inspired optimization techniques mil simulation environment model parameterization approach dynamic model parameters model parameterization inspired optimization dynamic parameters robotic systems particularly well enables simulation behavior accurately simulated model model characteristics inspired algorithms dynamic systems conservative model proposed approach holistic approach approach formulates system design real system physical system xlink "> work proposes wide range specialized real realistic simulations real plant reaction force proposed method practical models optimization problem mil ), inherent properties hil ), genetic algorithm fully leverage |