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Dance Training-based Optimizer: A Novel Human-inspired Metaheuristic Algorithm for Optimization Tasks

Jaloladdin RajabovDepartment of Transport systems , Urgench State University named after Abu Rayhan Biruni , Urgench , 14 , Kh.Alimdjan str , Urgench city , 220100 , UzbekistanHazem MigdadyCSMIS Department , Oman College of Management and Technology , 320 Barka , OmanRaed Abu ZitarAseel SmeratHourani Center for Applied Scientific Research , Al-Ahliyya Amman University , Amman 19328 , JordanWidi AirbowDepartment of Electrical Engineering , Faculty of Vocational Studies , Universitas Negeri Surabaya , IndonesiaZeinab MontazeriDepartment of Electrical and Electronics Engineering , Shiraz University of Technology , Shiraz 7155713876 , IranMohammad DehghaniDepartment of Electrical and Electronics Engineering , Shiraz University of Technology , Shiraz 7155713876 , IranO.P. MalikDepartment of Electrical and Software Engineering , University of Calgary , Calgary , AB T2N 1N4 , CanadaKei EguchiDepartment of Information Electronics , Fukuoka Institute of Technology , Japan

2026

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ABI

Annotatsiya

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, 2practice, 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.

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DOI: 10.22266/ijies2026.0228.47

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