Can Darwin’s logic predict a city’s future skyline?

Jul 19, 2018, 8:17 AM EDT
(Source: Dariusz/flickr)
(Source: Dariusz/flickr)

Researchers have taken a cue from natural biological systems to write an evolutionary genetic algorithm that learns from historical and economic data of an urban area to predict the city’s growth patterns in future.

The algorithm, developed at Universidade da Coruña in Spain, foresees which parts of the city may have the highest concentration of buildings along with estimating the number of skyscrapers at a given point in future, writes Dezeen.

The algorithm is based on evolutionary computation, a subset of artificial intelligence and machine learning that makes predictions drawing from the fundamental rules of genetics and Darwin’s natural selection principle, notes Science Daily.

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