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Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
(Sprınger, 2022)
Tuning a race car to improve its performance by adopting an effective
setup is crucial and an extremely challenging task. The Open Racing Car Simulator,
referred to as TORCS, is a well-known simulator in which a race car ...
Metaheuristic Algorithms in IoT: Optimized Edge Node Localization
(Springer, 2022)
In this study, a new hybrid method is proposed by using the advantages
of Grey Wolf Optimizer (GWO) and Moth-Flame Optimization (MFO) algorithms.
The proposed hybrid metaheuristic algorithm tries to find the near-optimal ...
Prediction of the Remaining Useful Life of Engines for Remanufacturing Using a Semi-supervised Deep Learning Model Trained by the Bees Algorithm
(Springer, 2023)
Smart and sustainable manufacturing is important for enterprises to handle global
challenges [1]. Products, systems, and components are reused, remanufactured, and
recycled instead of being disposed of in landfills, which ...