Complete guide to Modern Mathematical Optimization in GAMS
- Description
- Curriculum
- FAQ
- Reviews
The developed course is suitable for you even if you have no background in programming. The course is devoted to general optimization problems in GAMS.
In this course, you will learn how to use GAMS for solving optimization problems.
- First of all, you will learn how to install GAMS on your machine.
- What is optimization? What is the objective function? What is the constraint?
- You understand the meaning of different errors and the way you should debug them
- How to read/write from/to an Excel file
- Multi-Objective optimization in GAMS
- How to code conditional statements in GAMS
- How to code Loop statements in GAMS
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2
Optimal Decision Making ElementsIn this lecture, you will become familiar with the optimization elements
Objective function
Constraints
Data
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3
GAMS installation
You will learn how to download and install the GAMS
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4
GAMS structure
By this lecture you will learn more about the structure of GAMS
This gives you a big picture of what you can do with GAMS and how GAMS does the optimisation
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5
Sets in GAMS
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6
Parameters in GAMS
What is Table?
How to deal with Tables in GAMS ?
Syntax ?
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7
Scalars in GAMS
What is Scalar?
How to deal with Scalars in GAMS ?
Syntax ?
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8
Table in GAMS
What is Table?
How to deal with Tables in GAMS ?
Syntax ?
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9
Equations in GAMS
How to define equations in GAMS?
What is the syntax ?
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10
Model definition in GAMS
What kind of optimisation models can be solved in GAMS ?
What is my model type ?
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11
Solver selection in GAMS
How to select the appropriate GAMS solver for my model ?
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12
Conditional statements in GAMS
The conditional statement is explained in this lecture
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13
LOOP in GAMS
The loop statement is explained in this lecture
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14
Multiobjective Optimisation in GAMS
Multi-objective optimisation is explained and coded in GAMS
