“…[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.…”
“…[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.…”
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