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. Robot...

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Bibliographic Details
Published in:	Fiabilitate şi durabilitate Vol. 2; no. 20; pp. 9 - 18
Main Authors:	Ápostolos Tsagaris, Gabriel Mansour
Format:	Journal Article
Language:	English
Published:	Academica Brancusi 01-12-2017
Subjects:	ACO Optimisation System Integration
Online Access:	Get full text
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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