Abstract: An algorithm based on spatio-temporal data mining is proposed for the multidimensional dynamic monitoring and early warning needs that exist in the reserve management of power grid projects.
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
A Sequence Fine-Tuning Strategy Based Evolutionary Algorithm for Solving Project Scheduling Problems
Abstract: As artificial intelligence technology advances, the industrial landscape has been gradually transitioning from man-ual labor to automated manufacturing processes. This shift has highlighted ...
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