[HTML][HTML] Revisiting spatial optimization in the era of geospatial big data and GeoAI
Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …
allocation of resources spatially, which has received tremendous attention across various …
[HTML][HTML] Multi-objective optimisation based planning of power-line grid expansions
D Bachmann, F Bökler, J Kopec, K Popp… - … International Journal of …, 2018 - mdpi.com
German nuclear power phase out in 2022 leads to significant reconstruction of the energy
transmission system. Thus, efficient identification of practical transmission routes with …
transmission system. Thus, efficient identification of practical transmission routes with …
[HTML][HTML] Locating a facility to simultaneously address access and coverage goals
This paper introduces a bi‐objective strategic location problem to address access and
coverage. While previous research in continuous location modelling considered access …
coverage. While previous research in continuous location modelling considered access …
GIS spatial optimization for corridor alignment using simulated annealing
Featured Application This research allows tracing optimized routes in corridors of long
lengths and is applied to the installation of pipelines that transport valuable liquids, which …
lengths and is applied to the installation of pipelines that transport valuable liquids, which …
Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
Reasoning about the factors underlying habitat connectivity and the inter-habitat movement
of species is essential to many areas of biological inquiry. In order to better describe and …
of species is essential to many areas of biological inquiry. In order to better describe and …
A parallel computing framework for finding the supported solutions to a biobjective network optimization problem
Solving multi‐objective combinatorial optimization problems can quickly become
computationally challenging when applied to large networks generated from big data …
computationally challenging when applied to large networks generated from big data …
On Supportedness in Multi-Objective Combinatorial Optimization
This paper addresses an inconsistency in various definitions of supported non-dominated
points within multi-objective combinatorial problems (MOCO). MOCO problems are known to …
points within multi-objective combinatorial problems (MOCO). MOCO problems are known to …
[HTML][HTML] Geospatial Analytics to Support District Efficiency, Fairness and Equity
Districting is essential in establishing efficient, fair, and equitable boundaries across various
domains such as trade and service provision, land-use development, school attendance …
domains such as trade and service provision, land-use development, school attendance …
Valuing externalities from energy infrastructures through stated preferences: a geographically stratified sampling approach
The externalities produced by high-voltage transmission lines are multidimensional, may
strongly depend on the local context, and are thus difficult to capture through standard …
strongly depend on the local context, and are thus difficult to capture through standard …
Contextualizing vulnerability of ecological systems to landscape alteration
Context A variety of processes, such as urbanization and development projects, can
degrade connectivity in habitat systems, presenting significant threats to species …
degrade connectivity in habitat systems, presenting significant threats to species …