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

In the wake of growing climate challenges, geopolitical instability, and the global push toward sustainable developmen ...

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 ...

Energy Exploration & Exploitation, Vol. 39, No. 1 (January 2021), pp. 273-298 (26 pages) This paper establishes an error compensation multi-objective optimization ...

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 ...