STRATEGIES OF AN INTELLIGENT ALGORITHM : An evaluation of genetic algorithm settings for optimizing mobile network coverage
This report set out to evaluate control parameters used in a genetic algorithm in the use-case of providing an area with semi-realistic mobile coverage. The parameters evaluated consisted of the selection method, mutation probability, crossover probability and initial population size. The paramet...
Main Authors: | , |
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Format: | Others |
Language: | English |
Published: |
Umeå universitet, Institutionen för datavetenskap
2019
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163177 |