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)

Created by: Hossein Shahandeh
Mathematical Optimization Specialist

Created by: Sanjula Kammammettu
Optimization Engineer

What Will I 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!

Target audience

• 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.