Jaloladdin Rajabov, Hazem Migdady, Raed Abu Zitar, Aseel Smerat, Widi Airbow, Zeinab Montazeri, Mohammad Dehghani, Om Parkash Malik, Kei Eguchi
A novel human-based optimization algorithm named Dance Training-Based Optimizer (DTBO), based on the simulation of dance training steps, is proposed in this paper. Search agents in DTBO are dancers who want to perform the best dance show by training. DTBO is mathematically modeled in three phases with titles 1- imitation, 2- practice, and 3-creativity. A set of sixty-eight objective functions, including unimodal, multi-modal, CEC 2015 test suite, and CEC 2017 test suite, has been used to evaluate the proposed DTBO and its performance is compared with other eight optimization algorithms. Results obtained from these studies indicate the desired and acceptable quality and performance of the proposed algorithm in its application to solve optimization problems. © This article is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. License details: https://creativecommons.org/licenses/by-sa/4.0/
Department of Transport systems, Urgench State University named after Abu Rayhan Biruni, Urgench, 14, Kh.Alimdjan str, Urgench city, 220100, Uzbekistan; CSMIS Department, Oman College of Management and Technology, Barka, 320, Oman; College of Engineering and Computing, Liwa University, Abu Dhabi, 41009, United Arab Emirates; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan; Department of Electrical Engineering, Faculty of Vocational Studies, Universitas Negeri Surabaya, Indonesia; Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, 7155713876, Iran; Department of Electrical and Software Engineering, University of Calgary, Calgary, T2N 1N4, AB, Canada; Department of Information Electronics, Fukuoka Institute of Technology, Japan
