Design of row-based flexible manufacturing system with evolutionary computation

Mirko Ficko (Author), Jože Balič (Author)

Abstract

This paper discusses design of flexible manufacturing systems (FMSs) in one or multiple rows. Evolutionary computation, particularly genetic algorithms (GAs) proved to be successful in search of optimal solution for this type of problems. The model of solution, the most suitable way of coding the solutions into the organisms and the selected evolutionary and genetic operators are presented. In this connection, the most favourable number of rows and the sequence of devices in the individual row are established by means of genetic algorithms (GAs). In the end the test results of the application made and the analysis are discussed.

Keywords

prilagodljivi proizvodni sistemi;načrtovanje prilagodljivih proizvodnih sistemov;evolucijsko računanje;genetski algoritmi;umetna inteligenca;inteligentni proizvodni sistemi;flexible manufacturing system design;genetic algorithms;evolutionary computation;intelligent manufacturing systems;artificial intelligence;

Data

Language:	English
Year of publishing:	2008
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	004.8:658.5
COBISS:	12547862
ISSN:	0302-9743
Views:	1602
Downloads:	86
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary keywords:	prilagodljivi proizvodni sistemi;načrtovanje prilagodljivih proizvodnih sistemov;evolucijsko računanje;genetski algoritmi;umetna inteligenca;inteligentni proizvodni sistemi;
URN:	URN:SI:UM:
Pages:	str. 1-8
Issue:	ǂVol. ǂ5178
Chronology:	2008
ID:	8717832