Modified Genetic Algorithm with Sorting Process for Wireless Sensor Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246984" target="_blank" >RIV/61989100:27240/20:10246984 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-15-0324-5_33" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-15-0324-5_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-15-0324-5_33" target="_blank" >10.1007/978-981-15-0324-5_33</a>
Alternative languages
Result language
angličtina
Original language name
Modified Genetic Algorithm with Sorting Process for Wireless Sensor Network
Original language description
The genetic algorithm is widely used in optimization problems, in which, a population of candidate solutions is mutated and altered toward better solutions. Usually, genetic algorithm works in optimization problem with a fitness function which is used to evaluate the feasibility and quality of a solution. However, sometimes, it is hard to define the fitness function when there are several optimization objectives, especially only one solution can be selected from a population. In this paper, we modified genetic algorithms with a novel-sorting process to solve the above problem. Two algorithms, the classic genetic algorithm and newly proposed recently M-Genetic algorithm, are simulated and altered by embedding the novel-sorting process. Besides, both the algorithms and their alteration versions are applied into wireless sensor network for locating Relay nodes. The sensor node loss and package loss number are reduced in genetic algorithms with our sorting process compared to the original ones. (C) 2020, Springer Nature Singapore Pte Ltd.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_027%2F0008463" target="_blank" >EF16_027/0008463: Science without borders</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 1059
ISBN
978-981-15-0323-8
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
8
Pages from-to
381-388
Publisher name
Springer
Place of publication
Singapur
Event location
Ostrava
Event date
Mar 21, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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