QoS routing optimization strategy using genetic algorithm in optical fiber communication networks
This paper describes the routing problems in optical fiber networks, defines five constraints, induces and simplifies the evaluation function and fitness function, and proposes a routing approach based on the genetic algorithm, which includes an operator [OMO] to solve the QoS routing problem in opt...
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sg-smu-ink.sis_research-65522021-01-07T14:26:52Z QoS routing optimization strategy using genetic algorithm in optical fiber communication networks WANG, Zhaoxia CHEN, Zengqiang YUAN, Zhuzhi This paper describes the routing problems in optical fiber networks, defines five constraints, induces and simplifies the evaluation function and fitness function, and proposes a routing approach based on the genetic algorithm, which includes an operator [OMO] to solve the QoS routing problem in optical fiber communication networks. The simulation results show that the proposed routing method by using this optimal maintain operator genetic algorithm (OMOGA) is superior to the common genetic algorithms (CGA). It not only is robust and efficient but also converges quickly and can be carried out simply, that makes it better than other complicated GA. 2004-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5549 info:doi/10.1007/BF02944799 https://ink.library.smu.edu.sg/context/sis_research/article/6552/viewcontent/QoSRoutingOptimizationStrategy_2004_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Genetic algorithm Optical fiber communication network Optimal maintain operator (OMO) QoS routing Operations Research, Systems Engineering and Industrial Engineering OS and Networks Theory and Algorithms |
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Genetic algorithm Optical fiber communication network Optimal maintain operator (OMO) QoS routing Operations Research, Systems Engineering and Industrial Engineering OS and Networks Theory and Algorithms WANG, Zhaoxia CHEN, Zengqiang YUAN, Zhuzhi QoS routing optimization strategy using genetic algorithm in optical fiber communication networks |
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This paper describes the routing problems in optical fiber networks, defines five constraints, induces and simplifies the evaluation function and fitness function, and proposes a routing approach based on the genetic algorithm, which includes an operator [OMO] to solve the QoS routing problem in optical fiber communication networks. The simulation results show that the proposed routing method by using this optimal maintain operator genetic algorithm (OMOGA) is superior to the common genetic algorithms (CGA). It not only is robust and efficient but also converges quickly and can be carried out simply, that makes it better than other complicated GA. |
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text |
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WANG, Zhaoxia CHEN, Zengqiang YUAN, Zhuzhi |
author_facet |
WANG, Zhaoxia CHEN, Zengqiang YUAN, Zhuzhi |
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WANG, Zhaoxia |
title |
QoS routing optimization strategy using genetic algorithm in optical fiber communication networks |
title_short |
QoS routing optimization strategy using genetic algorithm in optical fiber communication networks |
title_full |
QoS routing optimization strategy using genetic algorithm in optical fiber communication networks |
title_fullStr |
QoS routing optimization strategy using genetic algorithm in optical fiber communication networks |
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QoS routing optimization strategy using genetic algorithm in optical fiber communication networks |
title_sort |
qos routing optimization strategy using genetic algorithm in optical fiber communication networks |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/sis_research/5549 https://ink.library.smu.edu.sg/context/sis_research/article/6552/viewcontent/QoSRoutingOptimizationStrategy_2004_av.pdf |
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