Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

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In real world applications it can often be difficult to determine which optimization algorithm to use. This is especially true if the problem has multiple objectives, which is a common occurrence in ...

Lightweight convolutional neural network (CNN) design has been a research focus for recent years, justified by the popularity of deploying deep models on resource-constrained devices. Notably, ...

Keywords: multi-objective hyperparameter optimization, Bayesian optimization, neuromorphic computing, spiking neural networks, accurate and energy-efficient machine learning Citation: Parsa M, ...