MOTEO: multi-objective thermal exchange optimization

版本 1.0.1 (11.0 KB) 作者: Nima Khodadadi
The algorithm is developed based on the concept of Newtonian cooling law.
5.0
(2)
381.0 次下载
更新 2024/6/13

查看许可证

In the present paper, a physics-inspired metaheuristic algorithm is presented to solve multi-objective optimization problems. The algorithm is developed based on the concept of Newtonian cooling law that recently has been employed by the thermal exchange optimization (TEO) algorithm to solve single-objective optimization problems efficiently. The performance of the multi-objective version of TEO (MOTEO) is examined through bi- and tri-objective mathematical and engineering problems as well as bi-objective structural design examples. According to the comparisons between the MOTEO and several well-known algorithms, the proposed algorithm can provide quality Pareto fronts with appropriate accuracy, uniformity, and coverage for multi-objective problems.
%__________________________________________________________________ %
% %
% %
% MOTEO: a novel multi-objective thermal exchange %
% optimization algorithm for engineering problems %
% %
% %
% Developed in MATLAB R2020b (MacOs-Monterey) %
% %
% Author and programmer %
% --------------------------------- %
% Nima Khodadadi Armin Dadras Eslamlou %
% %
% %
% %
% %
% e-Mail(2) %
% --------------------------------- %
% inimakhan@me.com %
% nkhod002@fiu.edu % %
% %
% %
% https://nimakhodadadi.com %
% %
% %
% %
% %
% Cite this article %
% Khodadadi, N., Talatahari, S. & Dadras Eslamlou, %
% MOTEO: a novel multi-objective thermal exchange optimization %
% algorithm for engineering problems. Soft Comput (2022). %
% https://doi.org/10.1007/s00500-022-07050-7 %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

引用格式

Khodadadi, Nima, et al. “MOTEO: a Novel Multi-Objective Thermal Exchange Optimization Algorithm for Engineering Problems.” Soft Computing, vol. 26, no. 14, Springer Science and Business Media LLC, Apr. 2022, pp. 6659–84, doi:10.1007/s00500-022-07050-7.

查看更多格式
MATLAB 版本兼容性
创建方式 R2022a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签
在新标签页中打开
版本 已发布 发行说明
1.0.1

The citation was added.

1.0.0