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The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve 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
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.
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)
(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