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GEATbx: Tutorial 1 Introduction

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1 Introduction

This Tutorial provides an introduction to the Genetic and Evolutionary Algorithm Toolbox for use with Matlab (GEATbx). The first steps for a Quick Start are described in Chapter 2 and some examples are shown.

When using the Genetic and Evolutionary Algorithm Toolbox for use with Matlab one needs to consider the format of the Variable Representation, see Chapter 3, and how to write an Objective Function implementing a problem, see Chapter 4. These tasks will be explained in detail.

The structure of the GEATbx is described by explaining the Calling Tree of the functions, see Chapter 5. Thus, the user gets a quick overview about the interconnection between the functions.

At the end the Naming Conventions, see Chapter 6, and the Data Structures, see Chapter 7, of the GEATbx are documented.

All the direct algorithm documentation is done inside the Matlab m-files (help name_of_m_file). An extensive help option is provided explaining the purpose and syntax of each function with illustrative examples. The M-function index (online documentation) contains all this information as well.

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GEATbx: Main page  Tutorial  Algorithms  M-functions  Parameter/Options  Example functions 

This document is part of version 3.3 of the GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab - www.geatbx.com.
The Genetic and Evolutionary Algorithm Toolbox is not public domain.
© 1994-2000 Hartmut Pohlheim, All Rights Reserved, (support@geatbx.com).