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: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academica Brancusi
2017-12-01
|
| 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 |
| Summary: | 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%. |
|---|---|
| ISSN: | 1844-640X 1844-640X |