Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2006 IEEE International Conference on Systems, Man and Cybernetics |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 5304-5308 |
| Seitenumfang | 5 |
| ISBN (Print) | 1-4244-0099-6 |
| Publikationsstatus | Veröffentlicht - 2006 |
| Veranstaltung | 2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan Dauer: 8 Okt. 2006 → 11 Okt. 2006 |
Publikationsreihe
| Name | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| Band | 6 |
| ISSN (Print) | 1062-922X |
Abstract
In this paper we report about deployment of Genetic Algorithms in order to optimize tread profiles for tires that will produce an unobtrusive noise. Since the complexity of the problem grows exponentially (the search space is typically of the order of a 65-dimensional vector space), a complete search for the optimal tread profile is not possible even with today's computers. Thus heuristic optimization algorithms are an appropriate means to find (near) optimal tread profiles. We discuss approaches of speeding up the generation and analysis of tread profiles, and results using Genetic Algorithms.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
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2006 IEEE International Conference on Systems, Man and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 2006. S. 5304-5308 4274760 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Band 6).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Genetic algorithms for noise reduction in tire design
AU - Becker, Matthias
PY - 2006
Y1 - 2006
N2 - In this paper we report about deployment of Genetic Algorithms in order to optimize tread profiles for tires that will produce an unobtrusive noise. Since the complexity of the problem grows exponentially (the search space is typically of the order of a 65-dimensional vector space), a complete search for the optimal tread profile is not possible even with today's computers. Thus heuristic optimization algorithms are an appropriate means to find (near) optimal tread profiles. We discuss approaches of speeding up the generation and analysis of tread profiles, and results using Genetic Algorithms.
AB - In this paper we report about deployment of Genetic Algorithms in order to optimize tread profiles for tires that will produce an unobtrusive noise. Since the complexity of the problem grows exponentially (the search space is typically of the order of a 65-dimensional vector space), a complete search for the optimal tread profile is not possible even with today's computers. Thus heuristic optimization algorithms are an appropriate means to find (near) optimal tread profiles. We discuss approaches of speeding up the generation and analysis of tread profiles, and results using Genetic Algorithms.
UR - http://www.scopus.com/inward/record.url?scp=34548136193&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2006.385151
DO - 10.1109/ICSMC.2006.385151
M3 - Conference contribution
AN - SCOPUS:34548136193
SN - 1-4244-0099-6
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 5304
EP - 5308
BT - 2006 IEEE International Conference on Systems, Man and Cybernetics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 8 October 2006 through 11 October 2006
ER -