This paper compares various selection techniques used in Genetic Algorithm. Genetic
algorithms are optimization search algorithms that maximize or minimizes given functions …

Agricultural landscapes presently cover about 46% of earth terrestrial surface. This
cultivated area is decreasing, whereas the global food demand is projected to increase up to …

This book provides an extensive review of three interrelated issues: land fragmentation, land
consolidation, and land reallocation, and it presents in detail the theoretical background …

The urban land-use allocation problem is a spatial optimization problem that allocates
optimum land-uses to specific land units in urban areas. This problem is an NP …

Multi-objective land allocation (MOLA) can be regarded as a spatial optimization problem
that allocates appropriate use to certain land units subjecting to multiple objectives and …

Combining simulation models and multi-objective optimization can help solving complex
land use allocation problems by considering multiple, often competing demands on …

Context The concept of ecosystem services (ES) has become mainstreamed in
environmental planning and management recently, and with that various tools for …

Purpose Nowadays, building information modeling (BIM) represents an evolution in the
architecture, engineering and construction (AEC) industries with its various applications. BIM …

In this paper, we present a multi-objective model with a promising application for facility
location planning. The genetic algorithm (GA)-based multi-objective optimization model …

Emergency response planning in case of a major accident (hazardous material event,
nuclear accident) is very important for the protection of the public and workers' safety and …