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7 Multi-Objective Problems (Van Valedhuizen's test suite)

version 1.0.0.0 (24.7 KB) by Reza Ahmadzadeh
The file includes 7 standard function of the Van Valedhuizen's test suite.

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Updated 28 May 2014

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The file includes 7 standard function of the Van Valedhuizen's test suite. These functions are one of the benchmarks for testing multi-objective optimization algorithms.
A Multi-objective function is a function that has more than one objective to be optimized.
The functions are written in vectorized form that helps the algorithm with more performance and speed.
All the functions are written for MINIMIZATION except for MOP3 that is written for MAXIMIZATION.
The usage is simple, for instance:
>> X=rand(3,2);
>> J=MOP7(X)

Cite As

Reza Ahmadzadeh (2020). 7 Multi-Objective Problems (Van Valedhuizen's test suite) (https://www.mathworks.com/matlabcentral/fileexchange/46744-7-multi-objective-problems-van-valedhuizen-s-test-suite), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Nguyen Thieu

Check out my lastest framework for benchmark functions using python (numpy).
https://github.com/thieunguyen5991/opfunu

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
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