Path optimization using genetic algorithm evolution
Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genet...
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2023
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my.uniten.dspace-296302023-12-28T15:17:48Z Path optimization using genetic algorithm evolution Low C.Y. Chong K.H. Salleh K. Johnny K.S.P. 36995000600 36994481200 57218170038 22951210700 Cartesian robots GA Gantry robots Genetic algotithm Path optimization Biology Engineering research Innovation Materials handling Optimization Robots Cartesian Robots GA Gantry robots Genetic algotithm Path optimization Genetic algorithms Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened. �2010 IEEE. Final 2023-12-28T07:17:48Z 2023-12-28T07:17:48Z 2010 Conference paper 10.1109/SCORED.2010.5704011 2-s2.0-79951963224 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951963224&doi=10.1109%2fSCORED.2010.5704011&partnerID=40&md5=dfc563ad6fa81f5feb3d687ae1c28e61 https://irepository.uniten.edu.my/handle/123456789/29630 5704011 252 255 Scopus |
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Cartesian robots GA Gantry robots Genetic algotithm Path optimization Biology Engineering research Innovation Materials handling Optimization Robots Cartesian Robots GA Gantry robots Genetic algotithm Path optimization Genetic algorithms |
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Cartesian robots GA Gantry robots Genetic algotithm Path optimization Biology Engineering research Innovation Materials handling Optimization Robots Cartesian Robots GA Gantry robots Genetic algotithm Path optimization Genetic algorithms Low C.Y. Chong K.H. Salleh K. Johnny K.S.P. Path optimization using genetic algorithm evolution |
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Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened. �2010 IEEE. |
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36995000600 |
| author_facet |
36995000600 Low C.Y. Chong K.H. Salleh K. Johnny K.S.P. |
| format |
Conference paper |
| author |
Low C.Y. Chong K.H. Salleh K. Johnny K.S.P. |
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Low C.Y. |
| title |
Path optimization using genetic algorithm evolution |
| title_short |
Path optimization using genetic algorithm evolution |
| title_full |
Path optimization using genetic algorithm evolution |
| title_fullStr |
Path optimization using genetic algorithm evolution |
| title_full_unstemmed |
Path optimization using genetic algorithm evolution |
| title_sort |
path optimization using genetic algorithm evolution |
| publishDate |
2023 |
| _version_ |
1806427617118650368 |
| score |
13.214268 |