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MOTEO: a novel multi-objective thermal exchange optimization algorithm for engineering problems
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DOI：10.1007/s00500-022-07050-7.png)
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Abstract
En 中文
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.
Keywords:
Thermal exchange optimization (TEO)
Multi-objective thermal exchange optimization (MOTEO) algorithm
Truss structures
Mathematical problems