Impact of genetic operators on energy-efficient wireless sensor network

Impact of genetic operators on energy-efficient wireless sensor network

The metaheuristic genetic algorithm is an evolutionary algorithm which means that it will always evolve to get an optimum solution. Due to this intrinsic characteristic, the conventional genetic algorithm might be trapped at local optimum when dealing with a global optimization problem that consists...

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Bibliographic Details
Main Authors: Vincent Chung, Norah Tuah, Lim, Kit Guan, Tan, Min Keng, Huang, Hui, Teo, Kenneth Tze Kin
Format: Proceedings
Language:English
English
Published: IEEE Inc. 2019
Subjects:
QA75.5-76.95 Electronic computers. Computer science
TK7800-8360 Electronics
Online Access:https://eprints.ums.edu.my/id/eprint/31779/1/Impact%20of%20genetic%20operators%20on%20energy-efficient%20wireless%20sensor%20network.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31779/2/Impact%20of%20genetic%20operators%20on%20energy-efficient%20wireless%20sensor%20network.pdf
https://eprints.ums.edu.my/id/eprint/31779/
https://ieeexplore.ieee.org/abstract/document/9117419
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Institution: Universiti Malaysia Sabah
Language: English
English

Internet

https://eprints.ums.edu.my/id/eprint/31779/1/Impact%20of%20genetic%20operators%20on%20energy-efficient%20wireless%20sensor%20network.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31779/2/Impact%20of%20genetic%20operators%20on%20energy-efficient%20wireless%20sensor%20network.pdf
https://eprints.ums.edu.my/id/eprint/31779/
https://ieeexplore.ieee.org/abstract/document/9117419

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