The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
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Updated
Jun 1, 2024 - Java
The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
Managing Kubernetes Quota with confidence
HPC Resource Allocation System
Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.
A Python package for automatic and optimized resource scheduling
Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)
WCSP:(1)Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks
云边协同- collaborative inference📚工作汇总 📚 Collaborative Inference Work Summary
Code for our paper on doing resource allocation with graph neural networks
Project regarding Resource allocation using RL
(Caveats! Dirty Code!!) Solving some Non-Orthogonal Multiple Access (NOMA) resource allocation problem, allocating Tx power properly at downlink to maximize the sum rate, by using DQN
Decentralized Intelligent Resource Allocation for LoRaWAN Networks
Desktop App for constraint optimization of linear programming problems
Simulator of experiments presented in "Enabling Long-term Fairness in Dynamic Resource Allocation", ACM SIGMETRICS 2023.
Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024
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