gurobi#

Balanced Task Assignment with Inverse Cost Scaling#

Notebooks > Balanced Task Assignment with Inverse Cost Scaling
Inverse_cost.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Tags: amplpy, nonlinear, worker-task-assignment, cost-minimization, inverse-cost-scaling, task-scheduling, gurobi, global-optimization, assignment, scheduling
Author: Mikhail Riabtsev (14 notebooks) <mail@solverytic.com>

Book Example: Economic equilibria#

Notebooks > Book Example: Economic equilibria
economic_eq_lecture.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: economic model using complementarity conditions from Chapter 19 AMPL book
Tags: ampl-book, finance, complementarity-problem, cbc, gurobi
Author: Marcos Dominguez Velad (26 notebooks) <marcos@ampl.com>

Employee Scheduling Optimization#

Notebooks > Employee Scheduling Optimization
Employee_Scheduling.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Employee scheduling model from the Analytical Decision Modeling course at the Arizona State University.
Tags: educational, mip, scheduling, amplpy, gurobi, highs
Author: Yimin Wang (2 notebooks) <yimin_wang@asu.edu>, Marcos Dominguez Velad (26 notebooks) <marcos@ampl.com>

NFL Team Rating#

Notebooks > NFL Team Rating
NFL_Team_Rating.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: NFL Team Rating problem from the Analytical Decision Modeling course at the Arizona State University.
Tags: educational, quadratic, amplpy, gurobi
Author: Yimin Wang (2 notebooks) <yimin_wang@asu.edu>, Marcos Dominguez Velad (26 notebooks) <marcos@ampl.com>

Optimizing the number of staff in a chain of stores#

Notebooks > Optimizing the number of staff in a chain of stores
staff_schedule.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Tags: mip, scheduling, data-driven-model, amplpy, cbc, highs, gurobi
Author: Mikhail Riabtsev (14 notebooks) <mail@solverytic.com>

Retrieve Solution pool with AMPL and Gurobi#

Notebooks > Retrieve Solution pool with AMPL and Gurobi
solution_pool.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: This notebook describes how to retrieve multiple solutions from the solver’s solution pool. Optimization problems usually have several optimal solutions, one is returned by the solver but the others are discarded. These alternative solutions can also be retrieved by AMPL.
Tags: solution-pool, gurobi, cplex, xpress, mip, mixed-integer-linear, mp, tutorials
Author: Marcos Dominguez Velad (26 notebooks) <marcos@ampl.com>, Gleb Belov (8 notebooks) <gleb@ampl.com>