Interdisciplinary Approaches to Spatial Optimization Issues

As metropolises continue to see a growth in population, planners are continually searching for trending methods for utilizing space and seeking the best geographical arrangements for these cities. Professionals have continually used geographic information systems (GIS) to solve these issues; however, limitations in this technology remain prevalent. Integrating multiple-criteria decision analysis and evolutionary computing tools with GIS has created an array of robust solutions for spatial optimization problems in densely populated areas.Interdisciplinary Approaches to Spatial Optimization Issues is a pivotal reference source that provides vital research on advancements within the field of GIS and evolutionary solutions for spatial optimization issues. While highlighting topics such as computing machinery, vehicular routing, and operational research, this publication is ideally designed for practitioners, technicians, developers, academicians, students, government officials, planners, and researchers seeking current research on applications and improvements within spatial optimization and GIS. About the Author Sami Faïz is a PhD in Computer Science from Orsay University (Paris 11). He is actually Full Professor in Computer Science at the Higher Institute of Multimedia Arts of Manouba and member of the Laboratory of Remote Sensing and Spatial Information Systems. He published more than 150 papers in specialized conferences and journals. He’s also the author of three books in the framework of GIS. Prof. Faïz is a scientific and organizing member of various international conferences. He’s also the founder of many national and international projects in Geomatics.