MOTEO: multi-objective thermal exchange optimization

The algorithm is developed based on the concept of Newtonian cooling law.

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.

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% MOTEO: a novel multi-objective thermal exchange %

% optimization algorithm for engineering problems %

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% Developed in MATLAB R2020b (MacOs-Monterey) %

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% Author and programmer %

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% Nima Khodadadi Armin Dadras Eslamlou %

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% https://nimakhodadadi.com %

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% 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 %

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