2019 IEEE Symposium Series on Computational Intelligence (SSCI) 2019
DOI: 10.1109/ssci44817.2019.9002888
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Research on Node Location Technology Based on Improved Particle Swarm Optimization

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Cited by 3 publications
(1 citation statement)
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“…[23]- [27], [31] focused on improving the location prediction algorithm for unknown nodes. [26] improves the global search ability of the algorithm by introducing optimization of inertia weights and selection strategies of adaptive functions. [31] proposes an adaptive strategy for crossover probability and mutation probability to improve the convergence performance of genetic algorithms.…”
Section: Related Workmentioning
confidence: 99%
“…[23]- [27], [31] focused on improving the location prediction algorithm for unknown nodes. [26] improves the global search ability of the algorithm by introducing optimization of inertia weights and selection strategies of adaptive functions. [31] proposes an adaptive strategy for crossover probability and mutation probability to improve the convergence performance of genetic algorithms.…”
Section: Related Workmentioning
confidence: 99%