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.
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