Publication Type

Journal Article

Version

publishedVersion

Publication Date

2-2007

Abstract

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.

Keywords

QoS routing, Supervised genetic algorithm, Supervised search rules

Discipline

Operations Research, Systems Engineering and Industrial Engineering | Theory and Algorithms

Research Areas

Intelligent Systems and Optimization

Publication

Journal of Tianjin Polytechnic University

Volume

13

Issue

1

First Page

48

Last Page

52

ISSN

1671-024X

Publisher

Tianjin Polytechnic University

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