FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
Breakthrough optimization results advance fairness and transparency in global competition scheduling ST. LOUIS, MO, ...
Abstract: The coal mine integrated energy system dispatch problem (CMIES-DP) is a constrained multiobjective optimization problem (CMOP) with the characteristics of multiple objectives, ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We develop constrained nuclear-electronic orbital density functional theory (CNEO–DFT) ...
Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
Discover actionable tips for aligning your content with AI algorithms and boosting your brand’s presence in an AI-driven world. Generative AI is transforming how consumers discover and engage with ...
The total processing time of the first workpiece in the first machine can be obtained directly from the data set, that is, the $f(W_{1},1)$ function can be called. In ...
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