Bermuda Triangle Optimizer (BTO)

Version 1.0.0 (1.61 MB) by hisham shehadeh
Bermuda Triangle Optimizer (BTO)
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Updated 1 May 2025
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In this code, a novel meta-heuristic optimization method is proposed, called “Bermuda Triangle Optimizer (BTO)”. The underlying concepts of the farmer one is inspired by the force of attraction of Bermuda, which many aircraft and ships are mysteriously disappeared in this area. The area of attractive force has a form of triangle roughly bounded by Florida, Bermuda, and Puerto Rico in which attracts any object to the center of triangle. Based on this theory, this point can be considered as the best solution (optimal value). BTO is tested in solving test bed suites of “Congress on Evolutionary Computation (CEC 2017)”. The BTO is compared against well-known physical based optimization algorithms, which are “Chernobyl Disaster Optimizer (CDO)”, and “Gravitational Search Algorithm (GSA)”. The outcomes of this code prove the performance of BTO in which can be considered as viable alternative.

Cite As

hisham shehadeh (2025). Bermuda Triangle Optimizer (BTO) (https://github.com/sh7adeh1990/BTO), GitHub. Retrieved .

Hisham A. Shehadeh, Bermuda Triangle Optimizer (BTO): A Novel Metaheuristic Method for Global Optimization, Vol. 17, No. 2, July 2025. DOI: 10.15849/IJASCA.250730.01

MATLAB Release Compatibility
Created with R2024b
Compatible with any release
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Version Published Release Notes
1.0.0

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