Genetic Algorithm Matlab Code. Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.1 Genetic algorithms belong to the larger class of evolutionary algorithms (EA.
![]() Publish and Share MATLAB Code
MATLAB® provides options for presenting your code to others, including using publishing and creating live scripts and functions in the Live Editor.
Create and Share Live Scripts in the Live Editor
The easiest way to create cohesive, sharable documents that include executable MATLAB code, embedded output, and formatted text is to use the Live Editor. Supported output formats include: MLX, PDF, Microsoft® Word, HTML, and LaTeX. For details, see Create Live Scripts in the Live Editor.
Publish MATLAB Code
Publishing a MATLAB Code file (
.m ) creates a formatted document that includes your code, comments, and output. Common reasons to publish code are to share the documents with others for teaching or demonstration, or to generate readable, external documentation of your code.
This code demonstrates the Fourier series expansion for a square wave.
To publish your code:
The sample code that appears in the previous figure is part of the installed documentation. You can view the code in the Editor by running this command:
Add Help and Create Documentation
You can add help to your code by inserting comments at the start of a MATLAB code file. MATLAB displays the help comments when you type
help file_name in the Command Window. For more information, see Add Help for Your Program.
You also can create your own MATLAB documentation topics for viewing from the MATLAB Help browser or the web. For more information, see Display Custom Documentation
See AlsoRelated TopicsExternal WebsitesGenerate Single-Precision MATLAB Code
This example shows how to generate single-precision MATLAB® codefrom double-precision MATLAB code.
Prerequisites
To complete this example, install the following products:
Create a Folder and Copy Relevant Files
Set Up the Single-Precision Configuration Object
Create a single-precision configuration object. Specify thetest file name. Verify the single-precision code using the test file.Plot the error between the double-precision code and single-precisioncode. Use the default values for the other properties.
![]() Generate Single-Precision MATLAB Code
To convert the double-precision MATLAB function,
ex_2ndOrder_filter ,to single-precision MATLAB code, use the convertToSingle
convertToSingle analyzes the double-precisioncode. The conversion process infers types by running the test filebecause you did not specify the input types for the ex_2ndOrder_filter function.The conversion process selects single-precision types for the double-precisionvariables. It selects int32 for index variables.When the conversion is complete, convertToSingle generates a typeproposal report.
View the Type Proposal Report
To see the types that the conversion process selected for thevariables, open the type proposal report for the
ex_2ndOrder_filter function.Click the link ex_2ndOrder_filter_report.html .
The report opens in a web browser. The conversion process converted:
View Generated Single-Precision MATLAB Code
To view the report for the generation of the single-precision MATLAB code,in the Command Window:
The code generation report displays the single-precision MATLAB codefor
ex_2ndOrder_filter .
View Potential Data Type Issues
When you generate single-precision code,
convertTosingle enables highlighting of potential data type issues in code generation reports. If convertTosingle cannot remove a double-precision operation, the report highlights the MATLAB expression that results in the operation. Click the Code Insights tab. The absence of potential data type issues indicates that no double-precision operations remain.
Compare the Double-Precision and Single-Precision Variables
You can see the comparison plots for the input
x andoutput y because you selected to log inputs andoutputs for comparison plots .
See Alsocoder.SingleConfig | coder.config | convertToSingle
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