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
N1 - Funding Information:
This work is partially supported by JSPS KAKENHI (16K00127).
Publisher Copyright:
© Springer International Publishing AG 2018.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
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
AN - SCOPUS:85026291916
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
A2 - Barolli, Leonard
A2 - Terzo, Olivier
PB - Springer Verlag
T2 - 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
Y2 - 10 July 2017 through 12 July 2017
ER -