Genetic algorithms for communications network design - an empirical study of the factors that influence performance
We explore the use of GAs for solving a network optimization problem, the degree-constrained minimum spanning tree problem. We also examine the impact of encoding, crossover, and mutation on the performance of the GA. A specialized repair heuristic is used to improve performance. An experimental des...
Saved in:
Main Authors: | CHOU, Hsinghua, Premkumar, G., CHU, Chao-Hsien |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2001
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1765 https://ink.library.smu.edu.sg/context/sis_research/article/2764/viewcontent/Genetic_algorithms_for_communications_network_design___an_empirical_study_of_the_factors_that_influence_performance.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Digital Data Networks Design Using Genetic Algorithms
by: CHU, Chao-Hsien, et al.
Published: (2000) -
Telecommunications Network Design: Comparison of Alternative Approaches
by: PREMKUMAR, G., et al.
Published: (2000) -
Location on tree networks: the medi-center
by: Olaivar, Thelma D.
Published: (1997) -
Spanning tree algorithms
by: Chan, Cecille Elinor S., et al.
Published: (1997) -
An algorithm and design implementation for communication network dimensioning: Adapting system structure sizing in conjunction with marketing objectives
by: Sapida, Bienvenido C.
Published: (1998)