Careertail
About UsCoursesCareer PathsBlogOpportunities
Log In
Courses>Other IT & Software>Optimization with GAMS: Operations Research Bootcamp A-Z
IT & SoftwareOptimization with GAMS: Operations Research Bootcamp A-Z
Price:Paid
Length:9 hours
Content type:video
level:all levels
Updated:21 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Other IT & Software>Optimization with GAMS: Operations Research Bootcamp A-Z
Optimization with GAMS: Operations Research Bootcamp A-Z
4.3 (120.0)
9 hours
120 students
What you will learn
1Basic Concepts and Terms Related to Optimization
2How to Formulate a Mathematical Problem
3Linear Programming and Coding LP Problems in GAMS
4Mixed Integer Linear Programming (MILP) and Coding MILP Problems in GAMS
5Non-Linear Programming (NLP) and Coding NLP Problems in GAMS
6Mixed Integer Non-Linear Programming (MINLP) and Coding MINLP Problems in GAMS
7Multi Objective Optimization
8Sequential Goal Programming and How to Code a SGP Problem in GAMS
Target audiences
1Students in all levels (Undergrad, Grad and PhD)
2Professionals in Various disciplines such as Engineering, Management and Operation Research
3Companies Who Wants to Use Optimization in Their Businesses
4Anyone Who is Interested to Learn Optimization!
Requirements
1There 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.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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:


  1. Define Sets, Parameters, Scalars, Objective Function & Constraints

  2. Import and read data from an external source (Excel file)

  3. Solve the optimization problem using various solvers such as CPLEX, IPOPT, COUENNE, BONMIN, ...

  4. Create a report from your result in GAMS results

  5. Export your results into an external source (Excel file)

  6. 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.


Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot
Careertail
Courses>Other IT & Software>Optimization with GAMS: Operations Research Bootcamp A-Z
IT & SoftwareOptimization with GAMS: Operations Research Bootcamp A-Z
Price:Paid
Length:9 hours
Content type:video
level:all levels
Updated:21 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Other IT & Software>Optimization with GAMS: Operations Research Bootcamp A-Z
Optimization with GAMS: Operations Research Bootcamp A-Z
4.3 (120.0)
9 hours
120 students
What you will learn
1Basic Concepts and Terms Related to Optimization
2How to Formulate a Mathematical Problem
3Linear Programming and Coding LP Problems in GAMS
4Mixed Integer Linear Programming (MILP) and Coding MILP Problems in GAMS
5Non-Linear Programming (NLP) and Coding NLP Problems in GAMS
6Mixed Integer Non-Linear Programming (MINLP) and Coding MINLP Problems in GAMS
7Multi Objective Optimization
8Sequential Goal Programming and How to Code a SGP Problem in GAMS
Target audiences
1Students in all levels (Undergrad, Grad and PhD)
2Professionals in Various disciplines such as Engineering, Management and Operation Research
3Companies Who Wants to Use Optimization in Their Businesses
4Anyone Who is Interested to Learn Optimization!
Requirements
1There 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.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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:


  1. Define Sets, Parameters, Scalars, Objective Function & Constraints

  2. Import and read data from an external source (Excel file)

  3. Solve the optimization problem using various solvers such as CPLEX, IPOPT, COUENNE, BONMIN, ...

  4. Create a report from your result in GAMS results

  5. Export your results into an external source (Excel file)

  6. 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.


Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot