Multi-Objective Multi-Verse Optimization (MOMVO) algorithm

版本 1.0.0.0 (153.6 KB) 作者: Seyedali Mirjalili
The multi-objective version of the Multi-Verse Optimization Algorithm
1.9K 次下载
更新时间 2018/5/22

查看许可证

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
*******************************************************************************************************************************************

引用格式

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. 检索来源 .

MATLAB 版本兼容性
创建方式 R2016a
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

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

Start Hunting!