While we still can't explain how AI works, algorithms are rapidly learning what makes us tick. And the gap is widening. AI is becoming more powerful, and mysterious. Despite years of work on ...
This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...
Abstract: To address the challenge of rapidly tracking the new pareto optimal set (PS) after environmental changes in dynamic multi-objective optimization problems (DMOPs), this paper proposes a ...
Abstract: This paper investigates the distributed least-squares (LS) problem for a multi-agent system. Unlike conventional distributed frameworks where data is partitioned row-wise or column-wise, we ...
In hotel management, traditional manual scheduling relies on experiential decision-making. It struggles to address dynamic challenges from occupancy fluctuations, periodic peaks, and sudden demands.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results