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2009 21st IEEE International Conference on Tools with Artificial Intelligence
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
Newark, New Jersey
November 02-November 04
ISBN: 978-0-7695-3920-1
ASCII Text
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Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani, "Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks," Tools with Artificial Intelligence, IEEE International Conference on, pp. 395-403, 2009 21st IEEE International Conference on Tools with Artificial Intelligence, 2009.
 
 
BibTex
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@article{ 10.1109/ICTAI.2009.113,
author = {Paskorn Champrasert and Junichi Suzuki and Tetsuo Otani},
title = {Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2009},
issn = {1082-3409},
pages = {395-403},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2009.113},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
SN - 1082-3409
SP395
EP403
A1 - Paskorn Champrasert,
A1 - Junichi Suzuki,
A1 - Tetsuo Otani,
PY - 2009
KW - evolutionary algorithms
KW - multi-objecitve optimization
KW - power utility communication networks
KW - QoS
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electric power utilities. EVOLT uses a population of individuals, each of which represents a set of QoS parameters, and evolves them via genetic operators such as crossover and mutation for satisfying given QoS requirements. Simulation results show that EVOLT outperforms a well-known existing evolutionary algorithm for multiobjective optimization and efficiently obtains quality QoS parameters with acceptable computational costs.
Index Terms:
evolutionary algorithms, multi-objecitve optimization, power utility communication networks, QoS
Citation:
Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani, "Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks," ictai, pp.395-403, 2009 21st IEEE International Conference on Tools with Artificial Intelligence, 2009
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