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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.
This is a digital product.
Interdisciplinary Approaches to Spatial Optimization Issues and published by Engineering Science Reference. The Digital and eTextbook ISBNs for Interdisciplinary Approaches to Spatial Optimization Issues are 9781799819578, 1799819574 and the print ISBNs are 9781799819547, 179981954X. Additional ISBNs for this eTextbook include 9781799819561.

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