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Multi-objective Differential Evolution Algorithm with Spherical Pruning based on preferences

version 1.21 (16.1 KB) by

A MOEA with spherical pruning based on preferences to approximate Pareto front

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IMPORTANT: This toolbox was developed as a part of my PhD (concluded 2014). I decided to keep
this version as it is for comparison purposes and it won't be updated.
I invite you to check the new eXtended version of this algorithm, that will be updated with new mechanisms and features, according to the progress of our research on the topic:
https://www.mathworks.com/matlabcentral/fileexchange/65145
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This code implements a version of the multi-objective differential evolution algorithm with spherical pruning based on preferences (spMODE-II, second version of the spMODE algorithm) described in:

Gilberto Reynoso-Meza. Controller Tuning by Means of Evolutionary Multiobjective Optimization: a Holistic Multiobjective Optimization Design Procedure. PhD. Thesis (2014), Universitat Politècnica de València. Url: http://hdl.handle.net/10251/38248. Supervisors: Javier Sanchis and Xavier Blasco.

&

Reynoso-Meza, G., Sanchis, J., Blasco, X., & García-Nieto, S. (2014). Physical programming for preference driven evolutionary multi-objective optimization. Applied Soft Computing, 24, 341-362.

It is a MOEA with mechanisms to improve and deal with:

-- Diversity
-- Pertinency
-- Many-objective optimization instances
-- Constrained optimization instances.

It uses:

-- Physical Programming, in order to incorporate designer's preferences.
-- Size control of the approximated Pareto front using the above information.
-- Spherical pruning, in order to improve spreading.

Comments and Ratings (3)

Zhang Huile

Very nice work! Thank you!

TOM JACKSON

it is very useful,thanks!

Alex

Alex (view profile)

Very nice work! Thank you!

Updates

1.21

Notes about this version and new toolbox.

1.2

Tutorial update

1.1

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MATLAB 7.9 (R2009b)

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