OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY
This paper prosposes a new hybrid method for optimisation of the control of spatial mechanisms using genetic algorithms and ant colony. The new method is a combination of ant colony and genetic algorithm with very meanfull results. It can be apllied on a big variety of spatial control systems. Rob...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academica Brancusi
2017-12-01
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| Series: | Fiabilitate şi Durabilitate |
| Subjects: | |
| Online Access: | http://www.utgjiu.ro/rev_mec/mecanica/pdf/2017-02/02_%C3%81POSTOLOS%20TSAGARIS,%20GABRIEL%20MANSOUR%20-%20OPTIMIZING%20THE%20CONTROL%20OF%20SPATIAL%20MECHANISMS%20USING%20GENETIC%20ALGORITHMS%20AND%20ANT%20COLONY.pdf |
| _version_ | 1818522197684125696 |
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| author | Ápostolos Tsagaris Gabriel Mansour |
| author_facet | Ápostolos Tsagaris Gabriel Mansour |
| author_sort | Ápostolos Tsagaris |
| collection | DOAJ |
| description | This paper prosposes a new hybrid method for optimisation of the control of spatial mechanisms
using genetic algorithms and ant colony. The new method is a combination of ant colony and genetic algorithm
with very meanfull results. It can be apllied on a big variety of spatial control systems. Robotic systems, CNC
machining systems, Coordinate measuring machines, e.t.c. In order to evaluate the proposed methodology
genetic algorithm and a combination of genetic algorithm and ant colony are compared. The results of the
comparison shows that the hybrid algorithm can optimize the value of the fitness function up to 95% and the
execution time is optimizing up to 81%. |
| first_indexed | 2024-12-11T05:30:07Z |
| format | Article |
| id | doaj.art-ff40c00fae254d2d8427a0495c44ed9f |
| institution | Directory Open Access Journal |
| issn | 1844-640X 1844-640X |
| language | English |
| last_indexed | 2024-12-11T05:30:07Z |
| publishDate | 2017-12-01 |
| publisher | Academica Brancusi |
| record_format | Article |
| series | Fiabilitate şi Durabilitate |
| spelling | doaj.art-ff40c00fae254d2d8427a0495c44ed9f2022-12-22T01:19:28ZengAcademica BrancusiFiabilitate şi Durabilitate1844-640X1844-640X2017-12-01220918OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONYÁpostolos Tsagaris0Gabriel Mansour1Technological Educational Institution of ThessalonikiAristoteles University of ThessalonikiThis paper prosposes a new hybrid method for optimisation of the control of spatial mechanisms using genetic algorithms and ant colony. The new method is a combination of ant colony and genetic algorithm with very meanfull results. It can be apllied on a big variety of spatial control systems. Robotic systems, CNC machining systems, Coordinate measuring machines, e.t.c. In order to evaluate the proposed methodology genetic algorithm and a combination of genetic algorithm and ant colony are compared. The results of the comparison shows that the hybrid algorithm can optimize the value of the fitness function up to 95% and the execution time is optimizing up to 81%.http://www.utgjiu.ro/rev_mec/mecanica/pdf/2017-02/02_%C3%81POSTOLOS%20TSAGARIS,%20GABRIEL%20MANSOUR%20-%20OPTIMIZING%20THE%20CONTROL%20OF%20SPATIAL%20MECHANISMS%20USING%20GENETIC%20ALGORITHMS%20AND%20ANT%20COLONY.pdfOptimisationACOGASystem Integration |
| spellingShingle | Ápostolos Tsagaris Gabriel Mansour OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY Fiabilitate şi Durabilitate Optimisation ACO GA System Integration |
| title | OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY |
| title_full | OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY |
| title_fullStr | OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY |
| title_full_unstemmed | OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY |
| title_short | OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY |
| title_sort | optimizing the control of spatial mechanisms using genetic algorithms and ant colony |
| topic | Optimisation ACO GA System Integration |
| url | http://www.utgjiu.ro/rev_mec/mecanica/pdf/2017-02/02_%C3%81POSTOLOS%20TSAGARIS,%20GABRIEL%20MANSOUR%20-%20OPTIMIZING%20THE%20CONTROL%20OF%20SPATIAL%20MECHANISMS%20USING%20GENETIC%20ALGORITHMS%20AND%20ANT%20COLONY.pdf |
| work_keys_str_mv | AT apostolostsagaris optimizingthecontrolofspatialmechanismsusinggeneticalgorithmsandantcolony AT gabrielmansour optimizingthecontrolofspatialmechanismsusinggeneticalgorithmsandantcolony |