An Algorithm for Site Selection in GIS based on Swarm Intelligence

Recent Advances in Mobile Agent‐Oriented Applications

“…A type of "self-organization" emerges from the collection of actions of the group. Research in this field has generated many distributed, efficient, heuristic solutions to a variety of difficult problems such as quality of Service (QoS) management optimization in dynamic networks [51], distributed document clustering [52], and the location allocation problem in the geographical information system (GIS) arena [53]. In the rest of this section, we will use the aforementioned research to demonstrate how mobile agents, as a design metaphor, work seamlessly with swarm intelligence…”

“…Sharma et al presented a swarm intelligence based distributed algorithm for the location problem in GIS [53]. The fundamental problem is the selection of a group of locations that best satisfy a set of constraints posed by the selection criteria.…”

“…The proposed algorithm in Ref. [53] is inspired by the three steps termites follow to construct a nest: r identify suitable sites, r build columns up to a maximum height, and r build arches connecting the columns.…”