Fundamentals of GAMS Programming Language

GAMS is a high-level programming language used for modeling and solving complex optimization problems.

2025-02-17T07:35:26.711Z Back to posts

Introduction

GAMS (General Algebraic Modeling System) is a high-level programming language used for modeling and solving complex optimization problems. It is widely used in various fields such as operations research, management science, economics, and engineering.

What is GAMS?

GAMS is a declarative language that allows users to model complex systems using algebraic equations. The primary goal of GAMS is to provide an easy-to-use interface for creating and solving optimization models. It supports a wide range of mathematical programming techniques, including linear programming (LP), integer programming (IP), mixed-integer programming (MIP), nonlinear programming (NLP), and dynamic programming.

Basic Components

A typical GAMS model consists of the following basic components:

1. Variables

Variables are used to represent unknowns in a mathematical model. In GAMS, variables can be classified into two types: continuous variables and integer variables.

TypeDescription
Continuous VariableA variable that can take any real value within a specified range.
Integer VariableA variable that can only take integer values within a specified range.

2. Equations

Equations are used to express relationships between variables in a mathematical model. In GAMS, equations can be classified into two types: nonlinear equations and linear equations.

TypeDescription
Nonlinear EquationAn equation that involves nonlinear functions of the variables.
Linear EquationAn equation that involves only linear functions of the variables.

3. Sets

Sets are used to define collections of unique elements in a mathematical model. In GAMS, sets can be classified into two types: indexed and non-indexed.

TypeDescription
Indexed SetA set that is defined using an index variable.
Non-Indexed SetA set that is not defined using an index variable.

4. Parameters

Parameters are used to define constants in a mathematical model. In GAMS, parameters can be classified into two types: scalar and array.

TypeDescription
Scalar ParameterA constant value assigned to a single parameter.
Array ParameterAn array of values assigned to multiple parameters.

Basic Syntax

The basic syntax of GAMS consists of the following elements:

1. Model Declaration

A model is declared using the MODEL statement, which specifies the name and type of the model.

MODEL mymodel /ALL/;

2. Variable Declaration

Variables are declared using the VARIABLE statement, which specifies the name, type, and range of the variable.

VARIABLE x "example variable" /0.5/, y;

3. Equation Declaration

Equations are declared using the EQUATION statement, which specifies the name and right-hand side (RHS) of the equation.

EQUATION eq1 "equation example" / x + y =e= 0/;

Basic Operations

GAMS supports various basic operations such as arithmetic, comparison, logical, and assignment. The following are some common basic operations in GAMS:

Arithmetic Operations

OperationDescription
+Addition
-Subtraction
*Multiplication
/Division
x = 2 * y + 3;

Comparison Operations

OperationDescription
=e=Equality
=l=Less than or equal to
=g=Greater than or equal to
=<Strict less than
=>Strict greater than
x =y= 2;

Logical Operations

OperationDescription
ANDLogical and
ORLogical or
NOTLogical not
IF x > 0 AND y > 0 THEN z = x + y;

Control Structures

GAMS supports various control structures such as if-then-else, loops, and conditional statements. The following are some common control structures in GAMS:

If-Then-Else Statements

IF x > 0 THEN y = x; ELSE y = -x;

Loops

LOOP(i IN 1..10)
y(i) = i * x;
ENDLOOP;

Conclusion


GAMS is a powerful programming language used for modeling and solving complex optimization problems. Its basic components, syntax, operations, and control structures provide an easy-to-use interface for creating and solving mathematical models.

By understanding the fundamentals of GAMS programming language, users can create efficient and effective solutions to various real-world problems in fields such as operations research, management science, economics, and engineering.