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Questions related to or-tools, Google's open-source software suite for optimization
10
votes
Case Studies and Real Problems for Teaching Optimization and Modelling
There are lots of resources that contain optimization models and whose codes. Some of them are as follows:
1) Supply chain:
Operations and supply management: The core
A deep dive into strategic net …
1
vote
CP Framework/Solver for .Net Core
As you mentioned, you will need to develop a practical (non-academic) scheduling model, you have two different options.
First, if your problem scale is not too large, I recommend developing a MIP f …
3
votes
Simplex method for multiple objectives
Please be aware that, Simplex is an algorithm to solve Linear programming and Not a method to solve MOO. In the context of linear or mixed-integer linear programming, there are some ways to do what yo …
3
votes
Does OptaPlanner give equally good results when comparing with commercially available MIP so...
First, @Geoffrey De Smet, is the creator of Optaplanner and might answer your question with more details about his tool. But, as you want to compare the exact solution, please be aware, Gurobi and OR- …
1
vote
Parallel scheduling with precedence constraints and variable job length
First of all, if in the problem there is a specific precedence constraint for each job, let's say each job has its specific route, your problem sounds like (flexible) job shop scheduling which is diff …
1
vote
Machine Allocation & optimal Utilization using python
According to your problem mentioned and if you are interested to develop an optimization model, I think your problem likes the "Comprehensive Equipment Selection Model". You would find some examples i …
5
votes
How to tackle large nurse scheduling problem?
There are many approaches to formulate nurse scheduling model. In practice, MIPs and some heuristics have frequently been used. AFAIK, for large scale MIPs, column generation technique can be applied. …
2
votes
Bin Packing with CP Solver
If I understand the problem correctly, it might be modeled as a variant of the resource-constrained project schedule in which you have some parallel machines and the tasks should be performed with som …