Abstract
Most of algorithms or logics to solve mathematical problems adopt multiple parameters such as coefficients and thresholds whose values should be carefully selected to enhance the performance. Conventionally, their developers or users tune them by trial and error, where they repeat to apply algorithms or logics with proper parameter values to available input data sets and modify them based on the results. As a result, this tuning process may consume a great deal of energy and not always provide the optimal ones. In this paper, we present a versatile parameter optimization tool to explore optimal values of parameters for various algorithms/logics. We show the effectiveness through applications for the throughput estimation model for wireless local-area networks, with the extension of the model.
| Original language | English |
|---|---|
| Title of host publication | Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 |
| Publisher | Springer Verlag |
| Pages | 701-710 |
| Number of pages | 10 |
| ISBN (Print) | 9783319615653 |
| DOIs | |
| Publication status | Published - 2018 Jan 1 |
| Event | 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 - Torino, Italy Duration: 2017 Jul 10 → 2017 Jul 12 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 611 |
| ISSN (Print) | 2194-5357 |
Other
| Other | 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 |
|---|---|
| Country | Italy |
| City | Torino |
| Period | 17/7/10 → 17/7/12 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
A parameter optimization tool and its application to throughput estimation model for wireless LAN. / Funabiki, Nobuo; Taniguchi, Chihiro; Lwin, Kyaw Soe; Zaw, Khin Khin; Kao, Wen Chung.
Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017. Springer Verlag, 2018. p. 701-710 (Advances in Intelligent Systems and Computing; Vol. 611).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A parameter optimization tool and its application to throughput estimation model for wireless LAN
AU - Funabiki, Nobuo
AU - Taniguchi, Chihiro
AU - Lwin, Kyaw Soe
AU - Zaw, Khin Khin
AU - Kao, Wen Chung
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Most of algorithms or logics to solve mathematical problems adopt multiple parameters such as coefficients and thresholds whose values should be carefully selected to enhance the performance. Conventionally, their developers or users tune them by trial and error, where they repeat to apply algorithms or logics with proper parameter values to available input data sets and modify them based on the results. As a result, this tuning process may consume a great deal of energy and not always provide the optimal ones. In this paper, we present a versatile parameter optimization tool to explore optimal values of parameters for various algorithms/logics. We show the effectiveness through applications for the throughput estimation model for wireless local-area networks, with the extension of the model.
AB - Most of algorithms or logics to solve mathematical problems adopt multiple parameters such as coefficients and thresholds whose values should be carefully selected to enhance the performance. Conventionally, their developers or users tune them by trial and error, where they repeat to apply algorithms or logics with proper parameter values to available input data sets and modify them based on the results. As a result, this tuning process may consume a great deal of energy and not always provide the optimal ones. In this paper, we present a versatile parameter optimization tool to explore optimal values of parameters for various algorithms/logics. We show the effectiveness through applications for the throughput estimation model for wireless local-area networks, with the extension of the model.
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U2 - 10.1007/978-3-319-61566-0_65
DO - 10.1007/978-3-319-61566-0_65
M3 - Conference contribution
SN - 9783319615653
T3 - Advances in Intelligent Systems and Computing
SP - 701
EP - 710
BT - Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
PB - Springer Verlag
ER -