Details
| Original language | English |
|---|---|
| Title of host publication | Knowledge-Based Intelligent Information and Engineering Systems |
| Subtitle of host publication | 10th International Conference, KES 2006, Proceedings |
| Pages | 706-713 |
| Number of pages | 8 |
| ISBN (electronic) | 978-3-540-46536-2 |
| Publication status | Published - 2006 |
| Event | 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom (UK) Duration: 9 Oct 2006 → 11 Oct 2006 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4251 LNAI - I |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
In this paper we report about deployment of intelligent optimisation algorithms for noice reduction in tire manufacturing. 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 such as Genetic Algorithms and Simulated Annealing 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 various optimization algorithms.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006, Proceedings. 2006. p. 706-713 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4251 LNAI - I).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Intelligent reduction of tire noise
AU - Becker, Matthias
AU - Szczerbicka, Helena
PY - 2006
Y1 - 2006
N2 - In this paper we report about deployment of intelligent optimisation algorithms for noice reduction in tire manufacturing. 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 such as Genetic Algorithms and Simulated Annealing 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 various optimization algorithms.
AB - In this paper we report about deployment of intelligent optimisation algorithms for noice reduction in tire manufacturing. 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 such as Genetic Algorithms and Simulated Annealing 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 various optimization algorithms.
UR - http://www.scopus.com/inward/record.url?scp=33750687501&partnerID=8YFLogxK
U2 - 10.1007/11892960_85
DO - 10.1007/11892960_85
M3 - Conference contribution
AN - SCOPUS:33750687501
SN - 978-3-540-46535-5
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 706
EP - 713
BT - Knowledge-Based Intelligent Information and Engineering Systems
T2 - 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
Y2 - 9 October 2006 through 11 October 2006
ER -