DocumentCode
1902549
Title
Multi-Phenotype Genetic Algorithm for Multi-Constrained QoS Routing
Author
Liu, Zhao ; Chen, Jianxun
Author_Institution
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan
fYear
2005
fDate
27-29 Nov. 2005
Firstpage
87
Lastpage
87
Abstract
This paper proposes a multi-phenotype genetic algorithm (MPGA), in which a chromosome means not only a solution but a cluster of solutions. A MPGA is used to solve multi-constrained QoS routing problem. Experiments show that, the algorithm is more efficient than classic GA and it can work with a wide class of constraints in multi-constrained QoS routing problem.
Keywords
genetic algorithms; quality of service; telecommunication network routing; chromosome; multi-constrained QoS routing; multi-phenotype genetic algorithm; Biological cells; Clustering algorithms; Computer science; Delay; Educational institutions; Genetic algorithms; Genetic mutations; Protocols; Routing; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2534-2
Electronic_ISBN
0-7695-2534-2
Type
conf
DOI
10.1109/SKG.2005.94
Filename
4125875
Link To Document