Quality of service routing strategy using supervised genetic algorithm

Quality of service routing strategy using supervised genetic algorithm

A supervised genetic algorithm (SGA) is proposed to solve the quality of service (QoS) routing problems in computer networks. The supervised rules of intelligent concept are introduced into genetic algorithms (GAs) to solve the constraint optimization problem. One of the main characteristics of SGA...

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Bibliographic Details
Main Authors: WANG, Zhaoxia, SUN, Yugeng, WANG, Zhiyong, SHEN, Huayu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
QoS routing
Supervised genetic algorithm
Supervised search rules
Operations Research, Systems Engineering and Industrial Engineering
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/5550
https://ink.library.smu.edu.sg/context/sis_research/article/6553/viewcontent/2007_QoS_Routing_Strategy_using_Supervised_Genetic_Algorithm__1_.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:A supervised genetic algorithm (SGA) is proposed to solve the quality of service (QoS) routing problems in computer networks. The supervised rules of intelligent concept are introduced into genetic algorithms (GAs) to solve the constraint optimization problem. One of the main characteristics of SGA is its searching space can be limited in feasible regions rather than infeasible regions. The superiority of SGA to other GAs lies in that some supervised search rules in which the information comes from the problems are incorporated into SGA. The simulation results show that SGA improves the ability of searching an optimum solution and accelerates the convergent process up to 20 times.

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