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Mathematical Optimization with GAMS and Pyomo (Python)

Learn how to mathematically formulate 16 business problems and find their optimal solutions with GAMS and Pyomo (Python)
4.6
4.6/5
(168 reviews)
2,231 students
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9.2

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8.7

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9.2

Content

Platform: Udemy
Video: 8h 20m
Language: English
Next start: On Demand

Table of contents

Description

This introductory course to optimization in GAMS and Pyomo (Python) contains 4 modules, namely,
•Linear programming
•Nonlinear programming
•Mixed Integer Linear Programming, and
•Mixed-Integer Nonlinear Programming
In each module, we aim to teach you the basics of each type of optimization through 3 different illustrative examples and 1 assingment from different areas of science, engineering, and management. Using these examples, we aim to gently introduce you to coding in two environments commonly used for optimization, GAMS and Pyomo. GAMS is a licensed software, for which we use a demo license in this course. Pyomo is an open-source package in Python, which we use Google Colaboratory to run. As we proceed through the different examples in each module, we also introduce different functionalities in GAMS and Python, including data import and export.
At the end of this course, you will be able to,
•Read a problem statement and build an optimization model
•Be able to identify the objective function, decision variables, constraints, and parameters
•Code an optimization model in GAMS
•Define sets, variables, parameters, scalars, equations
•Use different solvers in GAMS
•Leverage the NEOS server for optimization
•Import data from text, gdx, and spreadsheet files
•Export data to text, gdx, and spreadsheet files
•Impose different variable ranges, and bounds
•Code an optimization model in Pyomo
•Define models, sets, variables, parameters, constraints, and objective function
•Use different solvers in Pyomo
•Leverage the NEOS server for optimization
•Import data from text, gdx, and spreadsheet files
•Export data to text, gdx, and spreadsheet files
•Impose different variable ranges, and bounds

You will learn

✓ Mathematical optimization
✓ Linear programming
✓ Integer programming
✓ Nonlinear programming
✓ Hands-on coding experience in GAMS
✓ Hands-on coding experience in Pyomo (Python)

Requirements

• This course is designed for complete beginners to mathematical optimization. There are no coding prerequisites either, as we go through the functions and syntaxes in GAMS and Pyomo in detail. We instruct you on the download and demo license installation for GAMS. Pyomo is an open source package which we use Google Colaboratory to run. Therefore, all you need is a functional Google account, and you are ready to get started on this introductory journey to optimization!

This course is for

• We have designed this course to be accessible to students and professionals in various disciplines including, but not limited to, operations research, engineering, science, and management. Hence, we have chosen illustrative examples for each module within the course from different disciplines such as production scheduling, chemical and electrical engineering, geometry, etc. For each example, we will go through the problem statement in detail before proceeding to coding in GAMS and Python, so rest assured that you can follow through regardless of your field of learning and work.

How much does the Mathematical Optimization with GAMS and Pyomo (Python) course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $15.3 of 25 Optimization Problem courses. So this course is 2% cheaper than the average Optimization Problem course on Udemy.

Does the Mathematical Optimization with GAMS and Pyomo (Python) course have a money back guarantee or refund policy?

YES, Mathematical Optimization with GAMS and Pyomo (Python) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Mathematical Optimization with GAMS and Pyomo (Python) course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Hossein Shahandeh a SCAM or a TRUSTED instructor?

Hossein Shahandeh has created 1 courses that got 168 reviews which are generally positive. Hossein Shahandeh has taught 2,231 students and received a 4.6 average review out of 168 reviews. Depending on the information available, Hossein Shahandeh is a TRUSTED instructor.
Mathematical Optimization Specialist
Hossein Shahandeh is a mathematical optimization expert with more than 10 years of experience in this field. Through his academic and industrial experience, he has solved optimization problems mainly in the energy sector. He has hands-on experience on programming platforms (GAMS, MATLAB, and Pyomo) and optimization solvers (Gurobi, CPLEX, BARON, Gekko, GLPK, SCIP, and genetic algorithm).
Hossein received his Ph.D. in Chemical Engineering (Advanced Process Control major) from the University of Alberta in 2018. When he is not developing the most efficient solutions for his clients, he spends quality time with his wife, hangs out with his friends, improves his snowboarding skills, or develops online courses.
Platform: Udemy
Video: 8h 20m
Language: English
Next start: On Demand

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