 The Falcon Optimization Algorithm, FOA, is a new approach to Bayesian network structure learning, BNSL. It is based on the Falcon's searching technique during drought conditions and has been shown to be more efficient than other BNSL algorithms, such as Pigeon-inspired search, PIS, Greedy search, and Antlion Optimization search, AOS. The authors have demonstrated that the FOA outperformed the other algorithms in terms of accuracy and confusion matrix results. This article was authored by Hoss Hankasimala, Shahab Wahab Karim, and Amin Sali Muhammad.