Impact of genetic operators on energy-efficient wireless sensor network

• 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

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...