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...

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Bibliographic Details
Main Authors: CHOU, Hsinghua, Premkumar, G., CHU, Chao-Hsien
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2001
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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
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Institution: Singapore Management University
Language: English

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