Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
Statistics
Login
First page
>
Show document
Show document
Title:
Design of row-based flexible manufacturing system with evolutionary computation
Authors:
ID
Ficko, Mirko
(
Author
)
ID
Balič, Jože
(
Author
)
Files:
http://dx.doi.org/10.1007/978-3-540-85565-1_1
Language:
English
Work type:
Unknown
Typology:
1.08 - Published Scientific Conference Contribution
Organization:
FS - Faculty of Mechanical Engineering
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:
flexible manufacturing system design
,
genetic algorithms
,
evolutionary computation
,
intelligent manufacturing systems
,
artificial intelligence
Year of publishing:
2008
PID:
20.500.12556/DKUM-26245
UDC:
004.8:658.5
ISSN on article:
0302-9743
COBISS.SI-ID:
12547862
NUK URN:
URN:SI:UM:DK:YZXTSBS1
Publication date in DKUM:
31.05.2012
Views:
2499
Downloads:
108
Metadata:
Categories:
Misc.
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Record is a part of a journal
Title:
Lecture notes in computer science
Shortened title:
Lect. notes comput. sci.
Publisher:
Springer
ISSN:
0302-9743
COBISS.SI-ID:
4292374
Secondary language
Language:
English
Keywords:
prilagodljivi proizvodni sistemi
,
načrtovanje prilagodljivih proizvodnih sistemov
,
evolucijsko računanje
,
genetski algoritmi
,
umetna inteligenca
,
inteligentni proizvodni sistemi
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
