Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

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 ...

In the table, the row index represents the sequence number of the operation, the column index represents the sequence number of the machine, and the numerical value represents the corresponding ...

With the continuous promotion of the “dual carbon” idea, future power generation will rely heavily on renewable energy sources. As an effective utilization form of clean power sources, it is of ...

Abstract: Regarding the complicated flexible job-shop scheduling problem, it is not only required to get optimal solution of the problem but also required to ensure low-carbon and environmental ...

A major barrier to the wider use of supervised learning in emerging applications, such as genomic selection, is the lack of sufficient and representative labeled data to train prediction models. The ...

Each presentation is presented by a speaker and supervised by three supervisors. There are k supervisors available. There are two types of constraints: hard constraints and soft constraints. Hard ...

ABSTRACT: This paper develops an innovative approach to optimize a long-term rehabilitation and upgrading schedule (RUS) for a water distribution system with considering both hydraulic failure and ...