Shahab Wahhab KareemMehmet Cudi OkurKareem, Shahab WahhabOkur, Mehmet Cudi2025-10-06202019479271, 194792631947-92631947-927110.4018/IJSIR.20200401022-s2.0-85078278418https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078278418&doi=10.4018%2FIJSIR.2020040102&partnerID=40&md5=16e3d1c82eb3f81174e9970fc71dcb9dhttps://gcris.yasar.edu.tr/handle/123456789/9228https://doi.org/10.4018/IJSIR.2020040102Bayesian networks are useful analytical models for designing the structure of knowledge in machine learning. Bayesian networks can represent probabilistic dependency relationships among the variables. One strategy of Bayesian Networks structure learning is the score and search technique. The authors present the Elephant Swarm Water Search Algorithm (ESWSA) as a novel approach to Bayesian network structure learning. In the algorithm, Deleting Reversing Inserting and Moving are used to make the ESWSA for reaching the optimal structure solution. Mainly water search strategy of elephants during drought periods is used in the ESWSA algorithm. The proposed method is compared with simulated annealing and greedy search using BDe score function. The authors have also investigated the confusion matrix performances of these techniques utilizing various benchmark data sets. As presented by the results of the evaluations the proposed algorithm has better performance than the other algorithms and produces better scores and accuracy values. © 2021 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessBayesian Network, Elephant Swarm, Global Search, Local Search, Search And Score Structure Learning, Water Search, Learning Algorithms, Simulated Annealing, Structural Optimization, Swarm Intelligence, Bayesian Network Structure, Dependency Relationship, Elephant Swarm, Global Search, Local Search, Optimal Structures, Structure Of Knowledge, Structure-learning, Bayesian NetworksLearning algorithms, Simulated annealing, Structural optimization, Swarm intelligence, Bayesian network structure, Dependency relationship, Elephant Swarm, Global search, Local search, Optimal structures, Structure of knowledge, Structure-learning, Bayesian networksBayesian NetworkElephant SwarmGlobal SearchWater SearchSearch and Score Structure LearningLocal SearchArticle