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Evogene Ltd. has unveiled a first-in-class generative AI foundation model for small-molecule design, marking a breakthrough ...

In light of this, this paper proposes an optimization mechanism based on a BP neural network surrogate model combined with a multi-objective genetic algorithm. Using the straight beam rib wing box ...

In this paper, we propose a dynamic multi-objective optimization algorithm based on a recurrent neural network to balance the population’s convergence and diversity in dynamic environments. The ...

Different NAS algorithms have been proposed and have discovered several efficient model architectures, including MobileNetV3 and EfficientNet. By reformulating the multi-objective NAS problem within ...

The work in this paper presents the benefit of accelerating a genetic algorithm used for a multi-objective optimization of a nuclear experiment using convolutional neural network surrogate models ...

predictive modeling stage and multi-objective optimization stage. In the first stage, artificial neural networks are applied to predict the energy utility in real-time. In the second stage, an ...