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Optimization with GAMS: Operations Research Bootcamp A-Z

4.9
4.9/5
(23 reviews)
90 students

10.0

CourseMarks Score®

10.0

Freshness

10.0

Feedback

9.3

Content

Platform: Udemy
Video: 8h 45m
Language: English
Next start: On Demand

Description

The art of decision making and finding the optimal solution to a problem is getting more and more attention in recent years. In this course, you will learn how to deal with various types of mathematical optimization problems as below:

•Linear Programming (LP)
•Mixed Integer Linear Programming (MILP)
•Non-Linear Programming
•Mixed Integer Non-Linear Programming
•Multi-Objective Optimization
We start from the beginning that you need to formulate a problem. Therefore, after finishing this course, you will be able to find and formulate decision variables, objective function, constraints and define your parameters. Moreover, you will learn how to develop the model that you formulated in the GAMS environment. Using GAMS, you will learn how to:

•Define Sets, Parameters, Scalars, Objective Function & Constraints
•Import and read data from an external source (Excel file)
•Solve the optimization problem using various solvers such as CPLEX, IPOPT, COUENNE, BONMIN, …
•Create a report from your result in GAMS results
•Export your results into an external source (Excel file)
•Deal with multi-objective problems and solve them using GAMS solvers
In this course, we solve simple to complex optimization examples from engineering, production management, scheduling, transportation, supply chain, and … areas.

This course is structured based on 3 examples for each of the main mathematical programming sections. In the first two examples, you will learn how to deal with that type of specific problem. Then you will be asked to challenge yourself by developing the challenge problem into GAMS. However, even the challenge problem will be explained and solved with details.

You will learn

✓ Basic Concepts and Terms Related to Optimization
✓ How to Formulate a Mathematical Problem
✓ Linear Programming and Coding LP Problems in GAMS
✓ Mixed Integer Linear Programming (MILP) and Coding MILP Problems in GAMS
✓ Non-Linear Programming (NLP) and Coding NLP Problems in GAMS
✓ Mixed Integer Non-Linear Programming (MINLP) and Coding MINLP Problems in GAMS
✓ Multi Objective Optimization
✓ Sequential Goal Programming and How to Code a SGP Problem in GAMS

Requirements

• There is no prerequisites since this course is designed for complete beginners to mathematical optimization and I start from downloading and installing GAMS and prepare students for the course.

This course is for

• Students in all levels (Undergrad, Grad and PhD)
• Professionals in Various disciplines such as Engineering, Management and Operation Research
• Companies Who Wants to Use Optimization in Their Businesses
• Anyone Who is Interested to Learn Optimization!

How much does the Optimization with GAMS: Operations Research Bootcamp A-Z 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 Optimization with GAMS: Operations Research Bootcamp A-Z course have a money back guarantee or refund policy?

YES, Optimization with GAMS: Operations Research Bootcamp A-Z 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 Optimization with GAMS: Operations Research Bootcamp A-Z 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 Navid Shirzadi a SCAM or a TRUSTED instructor?

Navid Shirzadi has created 5 courses that got 1,333 reviews which are generally positive. Navid Shirzadi has taught 70,396 students and received a 4.4 average review out of 1,333 reviews. Depending on the information available, Navid Shirzadi is a TRUSTED instructor.

Navid Shirzadi

Data Analyst – Optimization Expert
My name is Navid Shirzaid and I am super excited that you are here to read this section!
I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies.
I am also proficient in coding with Python and developing machine learning and deep learning models for different applications.
I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence.
To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you!
Platform: Udemy
Video: 8h 45m
Language: English
Next start: On Demand