Evolução de split grammars para otimização de construções procedurais

Abstract

Procedural modeling has been successfully applied to the automatic building generation problem. Among several techniques to tackle the problem of procedural building generation, the use of Split Grammars has increased, even being deployed in commercial CAAD (Computer-Aided Architectural Design) software. This work proposes a technique to optimize Split Grammars using Genetic Algorithm. The main goal is to automatically create grammars that only generate models with certain desirable characteristics, either from a series of manually written grammars or randomly created ones. The proposed thecnique searches the space of the input grammars’s rules to develop new better grammars, i.e., grammars that generate models with certain predefined feature. The proposed technique was successfully applied, as will be shown, to the maximization of symmetry of building facades, leading to the creation of realistic models.