This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and ...
The future of urban green space might be written in code, according to research in the International Journal of ...
Abstract: Data-driven evolutionary algorithms (DDEAs) have achieved significant success in numerous real-world optimization problems, where exact objective functions and constraint functions do not ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
Abstract: The multimodal multi-objective optimization problem (MMOP) involves multiple distinct components of the Pareto set (PS), which correspond to the same Pareto front (PF). Most existing ...