Prediction and optimization of the compressive strength of marble powder-based concrete using AI techniques: machine learning and metaheuristic approaches

Kellouche Y., Department of Earth Science, University Djilali Bounaama, Khemis Meliana, Algeria, Laboratory of Structures, Geotechnics and Risks, Civil Engineering Department, Chlef University, Chlef, Algeria; Djebien R., Department of Civil Engineering, LMGHU laboratory, University 20 august 1955, Skikda, Algeria; Laouissi A., Department of Mechanical Engineering, Faculty of Sciences and Technology, University of Bordj Bou Arreridj, Bou Arreridj, 34033, Algeria; Karmi Y., Institute of Applied Sciences and Techniques, University Constantine1, Mentouri Brothers, Constantine, Algeria; Hani M., Department of Civil Engineering,, Eskisehir Technical University, Eskisehir, 26555, Turkey, Laboratory of Mechanics and Materials Development, Department of Civil Engineering, Faculty of Science and Technology, University of Djelfa, P.O. Box 3117, Djelfa, 17000, Algeria; Tayeh B.A., Civil Engineering Department, Faculty of Engineering, Islamic University of Gaza, Gaza, Palestine; Chetbani Y., Laboratory of Mechanics and Materials Development, Department of Civil Engineering, Faculty of Science and Technology, University of Djelfa, P.O. Box 3117, Djelfa, 17000, Algeria