Multi-edge delivery promised resilience and performance, but complexity held it back. New orchestration models are turning a ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
Abstract: Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints. These problems require ...
In International Conference on Evolutionary Multi-objective Optimization. DOI: 10.1007/978-981-96-3538-2_9 [arXiv] The paper introduces an acquisition function for finding the Pareto front of a ...
Abstract: In the pursuit of higher power density and operational efficiency in electric vehicle charging systems, the Boost-type integrated dual active bridge (BI-DAB) converter has garnered ...
Google’s experiment attempts to solve this problem using AI to help personalize language learning. “Learning a new spoken language… often happens in a vacuum—through textbooks or exercises that feel ...
One person was killed and six others were hospitalized after a multi-vehicle crash in downtown Riverside Wednesday night. This report aired April 16, 2025. Details: ...
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