Optimisation with PuLP

Getting Started

Now you know how to use this wiki, you can begin learning Python and using PuLP by looking at the content below. We recommend that you read The Optimisation Process, Optimisation Concepts, the Introduction to Python and the Introduction to PuLP before beginning the case-studies. The full PuLP function documentation is available here, and the useful functions will be explained in the case studies. The case studies are in order, so the later case studies will assume you have (at least) read the earlier case studies. However, we will provide links to any relevant information you will need.

1. TheOptimisationProcess
2. OptimisationConcepts
3. Introduction to Python
1. InstallingPythonatHome (or incomplete google wiki page InstallingPythonatHome )
2. BasicPythonCoding
4. Introduction to PuLP
1. InstallingPulpatHome
5. "Walk Through" Case Studies
1. ABlendingProblem
2. ATransportationProblem
3. ATransshipmentProblem
4. AFacilityLocationProblem (or incomplete google wiki page AFacilityLocationProblem )
5. ACuttingStockProblem (or incomplete google wiki page ACuttingStockProblem )
6. SudokuAsAnLP (or incomplete google wiki page SudokuProblem )
7. ColumnGeneration (or incomplete google wiki page ColumnGeneration )
8. ColumnGeneration2 (or incomplete google wiki page ColumnGeneration2 )
9. UsingElasticConstraints
10. Using FractionalConstraints
11. SequentialOptimisation
6. "DIY" Case Studies
1. FeedingtheHerd (or incomplete google wiki page FeedingtheHerd )
2. DataFitting (or incomplete google wiki page DataFitting )
3. ForestryManagement (or incomplete google wiki page ForestryManagement )
4. DataNetworkFlows (or incomplete google wiki page DataNetworkFlows )
5. CokeProduction (or incomplete google wiki page CokeProduction )
6. AirCrewRostering (or incomplete google wiki page AirCrewRostering )
7. Extra Case Studies
1. ANetworkDesignProblem (or incomplete google wiki page NetworkDesignProblem)