SolverMax @SolverMax
We help you make better optimization models in either Excel (using Solver and OpenSolver) or Python (using Pyomo, OR Tools, Pulp, etc). https://t.co/Tx8fphoKRV Joined April 2021-
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Production mix - Model 10, CVXPY We build Model 10 of the Python "Production mix" series. Our objective is to compare a model built using CVXPY with the same model built using Pyomo. #orms #Python #DataScience #optimization #Pyomo #CVXPY solvermax.com/blog/productio…
Production mix - Model 9, Gekko We build Model 9 of the Python "Production mix" series. Our objective is to compare a model built using Gekko with the same model built using Pyomo. #orms #Python #DataScience #optimization #Pyomo #Gekko solvermax.com/blog/productio…
Production mix - Model 8, OR-Tools We build Model 8 of the Python "Production mix" series. Our objective is to compare a model built using OR-Tools with the same model built using Pyomo. #orms #Python #DataScience #optimization #Pyomo #ORTools solvermax.com/blog/productio…
Production mix - Model 7, PuLP We build Model 7 of the Python "Production mix" series. Our objective is to compare a model built using PuLP with the same model built using Pyomo. #orms #Python #DataScience #optimization #Pyomo #PuLP solvermax.com/blog/productio…
Production mix - Model 6, Pyomo We build Model 6 of the Python "Production mix" series. Objectives: Declare the model as Abstract rather than Concrete, and read from a dat file rather than a json file. #orms #Python #DataScience #optimization #Pyomo solvermax.com/blog/productio…
Production mix - Model 5, Pyomo We build Model 5 of the Python "Production mix" series. Objectives: Define the model using def functions, & output slack values and dual prices for each constraint. #orms #Python #DataScience #optimization #Pyomo solvermax.com/blog/productio…
Production mix - Model 4, Pyomo We build Model 4 of the Python "Production mix" series. Objectives: Import data from a json file; read the data into the Model object rather than into separate objects. #orms #Python #DataScience #optimization #Pyomo solvermax.com/blog/productio…
Production mix - Model 3, Pyomo We build Model 3 of the Python "Production mix" series. Objectives: extract data to an external file, have better handling of the solve process, and expand the output. #orms #Python #DataScience #optimization #Pyomo solvermax.com/blog/productio…
Production mix - Model 2, Pyomo We build Model 2 of the Python "Production mix" series, using Pyomo. Our objectives are to separate the data from the model definition and validate the model via pprint(). #orms #Python #DataScience #optimization #Pyomo solvermax.com/blog/productio…
Production mix - Model 1, Pyomo In this article we build Model 1 of the Python "Production mix" series, using the Pyomo library. Our objective is to build and explain the workings of a simple Pyomo example. #orms #Python #DataScience #optimization #Pyomo solvermax.com/blog/productio…
Python optimization Rosetta Stone We start exploring optimization modelling in Python by building the same linear programming model using several Python tools: #Pyomo, #PuLP, #ORTools, #Gekko, #CVXPY, and #SciPy. solvermax.com/blog/python-op… #orms #Python #DataScience #optimization
Set up a Python modelling environment We describe steps to set up an environment for optimization modelling in Python, in preparation for blog articles about linear programs and related models in Python. #orms #Python #optimization #DataScience solvermax.com/blog/set-up-a-…
We're expanding the scope of our blog to include optimization modelling using Python. The blog will explore a variety of Python modelling tools and the use of different solvers for a wide range of problem types. #orms #Python #optimization #DataScience solvermax.com/blog/python-we…
Non-linear transformation and linearization techniques This paper presents transformations and linearizations for a variety of non-linear relationships, to make optimization models quicker and easier to solve to optimality. solvermax.com/blog/transform… #orms #orblog
Logic conditions as constraints - Part 2 We describe an alternative technique for converting a logical implication (If-then) into a set of MILP constraints, illustrated with several examples. solvermax.com/blog/model/log… #orms #excel @thyunes
Logic conditions as constraints - Part 1 We describe a technique for converting a logical implication (If-then) into a set of MILP constraints via Conjunctive Normal Form (CNF). We illustrate with an example of project selection. solvermax.com/blog/model/log… #orms #msexcel @thyunes
Free 681 page textbook "Decision Modeling" by David Tulett Topics: optimization of linear, integer, and nonlinear models, plus decision trees. Uses Excel Solver and LINGO to build & solve the many examples. solvermax.com/blog/decision-… #orms @FrontlineSolver @LindoSystems @MemorialU
Finding almost all paths Short post highlighting Professor Rubin's recent article about finding all solutions to a network model, using: CPLEX solution pool, eliminate known solutions, and brute force enumeration. solvermax.com/blog/finding-a… #orms #cplex @PaRubin
Taking a dip in the MIP solution pool We describe two methods for finding alternative optima in a MIP model: 1. the CPLEX "solution pool" feature via NEOS Server 2. adding constraints to exclude known solutions. solvermax.com/blog/model/tak… #orms #Excel #cplex @NeosOpt
Here's a handy guide to linearizing various non-linear parts of mixed integer programs. Useful for making your mathematical program models faster and more robust. solvermax.com/blog/mip-formu… #orms #Excel
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