Details
| Original language | English |
|---|---|
| Title of host publication | 2008 IEEE International Conference on Systems, Man and Cybernetics |
| Pages | 1291-1294 |
| Number of pages | 4 |
| Publication status | Published - 2008 |
| Event | 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore Duration: 12 Oct 2008 → 15 Oct 2008 |
Publication series
| Name | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| ISSN (Print) | 1062-922X |
Abstract
Reducing noise is a growing subject of interest inthe automotive industry, especially in tire manufacturing. When it Comes to tires with spikes then the reduction of noise is an urgentissue. The placement of spikes on a given tire is combinatorial problem with constraints, since there are restrictions imposedby the traffic law as well as restrictions stemming from theproduction process. In this work we show that the application of heuristicoptimization algorithms is usually not feasible because of theproblem size that makes it impossible to find even one valid spikedistribution with simple methods. We show three approachesbased on the divide and conquer strategy that show promisingresults, one approach even including an optimization strategy ina genetic algorithms like style. As result our powerful algorithmsare now used successfully in tire industry in order to producevalid and noise reduced spike distributions.
Keywords
- Noise, Tire optimization
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Human-Computer Interaction
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2008 IEEE International Conference on Systems, Man and Cybernetics. 2008. p. 1291-1294 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Optimized spike placement on tires with respect to low noise
AU - Becker, Matthias
PY - 2008
Y1 - 2008
N2 - Reducing noise is a growing subject of interest inthe automotive industry, especially in tire manufacturing. When it Comes to tires with spikes then the reduction of noise is an urgentissue. The placement of spikes on a given tire is combinatorial problem with constraints, since there are restrictions imposedby the traffic law as well as restrictions stemming from theproduction process. In this work we show that the application of heuristicoptimization algorithms is usually not feasible because of theproblem size that makes it impossible to find even one valid spikedistribution with simple methods. We show three approachesbased on the divide and conquer strategy that show promisingresults, one approach even including an optimization strategy ina genetic algorithms like style. As result our powerful algorithmsare now used successfully in tire industry in order to producevalid and noise reduced spike distributions.
AB - Reducing noise is a growing subject of interest inthe automotive industry, especially in tire manufacturing. When it Comes to tires with spikes then the reduction of noise is an urgentissue. The placement of spikes on a given tire is combinatorial problem with constraints, since there are restrictions imposedby the traffic law as well as restrictions stemming from theproduction process. In this work we show that the application of heuristicoptimization algorithms is usually not feasible because of theproblem size that makes it impossible to find even one valid spikedistribution with simple methods. We show three approachesbased on the divide and conquer strategy that show promisingresults, one approach even including an optimization strategy ina genetic algorithms like style. As result our powerful algorithmsare now used successfully in tire industry in order to producevalid and noise reduced spike distributions.
KW - Noise
KW - Tire optimization
UR - http://www.scopus.com/inward/record.url?scp=69949128236&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2008.4811462
DO - 10.1109/ICSMC.2008.4811462
M3 - Conference contribution
AN - SCOPUS:69949128236
SN - 978-1-4244-2383-5
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1291
EP - 1294
BT - 2008 IEEE International Conference on Systems, Man and Cybernetics
T2 - 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008
Y2 - 12 October 2008 through 15 October 2008
ER -