'What's actually going to happen is rich people are going to use AI to replace workers. It's going to create massive ...
Mathematical optimization offers today’s businesses a fundamentally different approach to worst-case scenario prepping. Rather than relying on gut instinct and static data, optimization leverages ...
Paché, G. (2026) Patrick Geddes on Sustainable City Life. Journal of Service Science and Management, 19, 13-28. doi: ...
This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake ...
As artificial intelligence reshapes discovery, visibility, and trust, a new category of marketing work is quietly becoming essential. HICKORY, NC, UNITED STATES ...
Abstract: This article explores distributed convex optimization with globally-coupled constraints, where the objective function is a general nonsmooth convex function, the constraints include ...
This figure illustrates the overall framework and loss function design of the proposed Geostrophic-TAU U-Net (GTU-Net) for sea surface height prediction. The upper panel presents the physical ...
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 ...
Abstract: The presence of equality and inequality constraints is of significant importance in expensive constrained optimization. This study aims to develop a surrogate-assisted evolutionary algorithm ...
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 ...
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