Build a Multi objective optimization problem using deep reinforcement learning
Budget: ₹1,000 – ₹2,500 INR
I want a python implementation of a Multi-objective optimization problem using the telco dataset.
The implementation of deep reinforcement learning on travelling salesman problem (Code will be provided)
and on the basis of the same, the implementation has to be done for the telco dataset.
the parameter for the implementation will be workload and access delay and to optimize the edge server placement.
The rest of the information will be provided after the allotment of the project.
The requirement for the project are:
1-Strong python programing
2-Back ground in Optimization
Before Appling kindly consider these two links that will help you to understand the work.
1-https://github.com/kevin031060/RL_TSP_4static
2-http://sguangwang.com/TelecomDataset.html
3-http://sguangwang.com/Source%20code/edge-cloud-placement.rar
The implementation of deep reinforcement learning on travelling salesman problem (Code will be provided)
and on the basis of the same, the implementation has to be done for the telco dataset.
the parameter for the implementation will be workload and access delay and to optimize the edge server placement.
The rest of the information will be provided after the allotment of the project.
The requirement for the project are:
1-Strong python programing
2-Back ground in Optimization
Before Appling kindly consider these two links that will help you to understand the work.
1-https://github.com/kevin031060/RL_TSP_4static
2-http://sguangwang.com/TelecomDataset.html
3-http://sguangwang.com/Source%20code/edge-cloud-placement.rar