New models address problems related to timing, scheduling of surgeries, capacity planning, patients' stays in recovery

Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In ...
Marketing

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Your go-to for B2B Marketing Training and Consulting backed by data science, psychology, and—our secret weapon—real-world experience. Join 350,000+ marketers who rely on MarketingProfs for B2B ...
GitHub

employee-scheduling

Timefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, ...
IEEE

Optimal Task Scheduling Algorithm for Simulation Engines

Abstract: Aiming at the efficiency optimization problem of multi-thread task scheduling in simulation engine environments, this paper proposes an optimal task scheduling algorithm based on load ...
IEEE

Research on Optimization Scheduling of Microgrid Based on Improved Moss Algorithm

Abstract: This paper proposes a comparative strategy for seasonal optimization scheduling of microgrids, based on an improved moss optimization algorithm, to address the operational costs and seasonal ...