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...
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: | |
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 |
Similar Items
-
Data transmission in wireless sensor network with greedy function and particle swarm optimization
by: Hamzarul Alif Hamzah, et al.
Published: (2019) -
Exothermic batch process optimisation via multivariable genetic algorithm
by: Tan, Min Keng, et al.
Published: (2012) -
Transmission path optimization Based on Efficiency Communication System
by: Jin Fan, et al.
Published: (2022) -
Cluster head selection optimization in wireless sensor network via genetic-based evolutionary algorithm
by: Vincent Chung, et al.
Published: (2020) -
Self-adaptive mutation for enhancing evolutionary search in real-coded genetic algorithms
by: Teo, Jason Tze Wi
Published: (2006)