Multi-Objective Multi-Verse Optimization (MOMVO) algorithm

The multi-objective version of the Multi-Verse Optimization Algorithm
2K download
Aggiornato 22 mag 2018

Visualizza la licenza

This submission includes the source codes of the multi-objective version of the Multi-Verse Optimization Algorithm (MOA) called Multi-Objective Multi-Verse Optimization Algorithm (MOMVO).
.
The main paper is:
S. Mirjalili, P. Jangir, S. Z. Mirjalili, S. Saremi, and I. N. Trivedi, Optimization of problems with multiple objectives using the multi-verse optimization algorithm, Knowledge-based Systems, 2017, DOI: http://dx.doi.org/10.1016/j.knosys.2017.07.018

If you have no access to the paper, please drop me an email at ali.mirjalili@gmail.com and I will send you the paper.

All of the source codes and extra information as well as more optimization techniques can be found in my personal website at http://www.alimirjalili.com

The source code of MVO can be downloaded here: https://au.mathworks.com/matlabcentral/fileexchange/50112-multi-verse-optimizer--mvo-

I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:

*******************************************************************************************************************************************
A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF

A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
*******************************************************************************************************************************************

Cita come

Seyedali Mirjalili (2024). Multi-Objective Multi-Verse Optimization (MOMVO) algorithm (https://www.mathworks.com/matlabcentral/fileexchange/63796-multi-objective-multi-verse-optimization-momvo-algorithm), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2016a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!