Abstract: In this paper, the distributed optimization problem of a class of continuous time multi-agent systems with linear dynamics with unknown parameters is studied. Considering a given global ...
Abstract: Competitive swarm optimizer (CSO) is an efficient and effective swarm intelligence approach, especially for large-scale optimization. This paper presents an enhanced version of CSO termed ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
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