Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: Constrained multi-objective problems (CMOPs) are tricky, because it is difficult to handle multiple objectives and constraints simultaneously. Most existing algorithms perform well on CMOPs ...

Los Angeles, CA, United States, 14th Nov 2025 – createIT announced the introduction of its Generative Engine Optimization services, marking an early step into a developing area of digital visibility ...

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...

This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an ...

In China, the urgent need to formulate food policies that address both nutritional health and climate challenges has become increasingly apparent. This study constructs a theoretical framework and a ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...

Abstract: When solving multimodal multi-objective optimization problems (MMOPs), it is important to maintain the diversity in the decision space. Since traditional Pareto-dominance-based multimodal ...