Learning-based hybrid method improves circular e-waste network optimization
A learning-based hybrid optimization method reduced median normalized IGD+ by 60.6% versus standard NSGA-II in a modeled circular e-waste supply ...
A learning-based hybrid optimization method reduced median normalized IGD+ by 60.6% versus standard NSGA-II in a modeled circular e-waste supply ...
Researchers at Ajman University have hybridized a rat-inspired optimization algorithm with Lévy Flights and simulated annealing to produce a highly ...
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© 2025 Scienmag - Science Magazine