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Scheduling

Project or Job Scheduling

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Showing 326–350 of 3104 papers

TitleStatusHype
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT—0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
A Model for Optimal Resilient Planning Subject to Fallible Actuators—0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—0
A convex mathematical program for pump scheduling in a class of branched water networks—0
A Model-Based Approach for Flight Delay Prediction—0
A Minimax Framework for Two-Agent Scheduling with Inertial Constraints—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments—0
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows—0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression—0
A Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size—0
Accelerated Cloud for Artificial Intelligence (ACAI)—0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling—0
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations—0
A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended—0
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling—0
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback—0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle—0
A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems—0
A Markov Decision Process Approach to Active Meta Learning—0
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback—0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing—0
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry—0
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