Introduction ยท Updated 13 December 2005, by Jason
Genetic algorithms are inspired by Darwin's theory of evolution. A solution
to a problem solved by genetic algorithms uses an evolutionary process;
it is evolved. Any such algorithm begins with a set of solutions (represented
by chromosomes) called a population. Solutions which prove fitter are taken
and used to form new solutions and populations (offspring). The more suitable
individual solutions are, the more chances they have to reproduce, and create
increasingly fitter populations.
Documented here is our work to explore computational tools, specifically Genetic Algorithms, to inform urban design. This project strives to evaluate and simulate future urban patterns. Such patterns are constructed relative to historic organizations, and evaluated against current building trends.