Article Harris Hawks Optimization: A Novel Swarm Intelligence Technique for Spatial Assessment of Landslide Susceptibility Dieu Tien Bui 1, Hossein Moayedi 2,3,*, Bahareh Kalantar 4, Abdolreza Osouli 5, Mesut Gör 6, Biswajeet Pradhan 7,8, Hoang Nguyen 9,10 and Ahmad Safuan A Rashid 11 1 Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam 2 Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam 3 Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam 4 RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 103-0027, Japan 5 Civil Engineering Department, Southern Illinois University, Edwardsville, IL 62026, USA 6 Department of Civil Engineering, Division of Geotechnical Engineering, Firat University, Elâzığ 23119, Turkey 7 Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia 8 Department of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea 9 Department of Surface Mining, Hanoi University of Mining land Geology, 18 Vien Street, Duc Thang Ward, Bac Tu Liem District, Hanoi, Vietnam 10 Center for Mining, Electro-Mechanical Research, Hanoi University of Mining and Geology, 18 Vien Street, Duc Thang Ward, Bac Tu Liem District, Hanoi, Vietnam 11 Centre of Tropical Geoengineering (Geotropik), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia * Correspondence:
[email protected] ; Tel.: +009-891-7711-3193 Received: 5 July 2019; Accepted: 15 August 2019; Published: 17 August 2019 Abstract: In this research, the novel metaheuristic algorithm Harris hawks optimization (HHO) is applied to landslide susceptibility analysis in Western Iran.