DTO: Donkey Theorem Optimization

Abstract

Metaheuristic optimization algorithms have been used in many applications in recent years. Most of these algorithms are inspired by physical processes or living beings' behaviors. A new optimization algorithm, called Donkey Theorem Optimization (DTO), that simulates the behavior of Donkeys is proposed in this paper. DTO is based on donkey theorem that mimics behavior of donkey for reach to food. Proposed algorithm is tested on 23 well-known benchmark test functions and its performance compared with eight optimization algorithms. The results show that DTO is able to provide better results as compared to the other well-known optimization algorithms.