2018
DOI: 10.24912/tesla.v19i2.2694
|View full text |Cite
|
Sign up to set email alerts
|

Analisis Penempatan Evolved Node B Area DKI Jakarta Dengan Menggunakan Algoritma Genetika Dan Evolutionary Programming

Abstract: Demand of higher data speed communication must be supported by good system and precise Evolved Node B allocation to give a good service quality. In the future especially Indonesia telecommunication network keep growing, data traffic with effective perfomance keep developed by mobile operator (service provider). Mobile telecomunication networking need cell planning with aim to meet cell coverage which is showed by number of base station, with minimal allocation but can meet the requirement of traffic capacity a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…GA is an evolutionary algorithm based on Darwin's evolutionary approach in the field of Biologies such as inheritance, natural selection, gene mutation, and crossover. This GA has four components, namely chromosomes, crossover, fitness, evolution or mutation, and population [35], and it has been widely used to resolve cases in public services or processes in companies [36].…”
Section: -1-genetic Algorithmmentioning
confidence: 99%
“…GA is an evolutionary algorithm based on Darwin's evolutionary approach in the field of Biologies such as inheritance, natural selection, gene mutation, and crossover. This GA has four components, namely chromosomes, crossover, fitness, evolution or mutation, and population [35], and it has been widely used to resolve cases in public services or processes in companies [36].…”
Section: -1-genetic Algorithmmentioning
confidence: 99%
“…Genetic methods solve the problem in a good way. every process of natural evolution while looking for a good solution in solving problems is one of the advantages of genetic algorithms (Gautama, 2016), (Septyanto et al, 2018). In this research, try to solve the problems that exist in the sub-district office in community service in managing every letter needed.…”
Section: Introductionmentioning
confidence: 99%