Title :
Modeling virtual cities using genetic algorithms
Author :
Kato, Nei ; Okano, A. ; Okuno, Takashi
Author_Institution :
Dept. of Electron. & Inf. Sci., Tsukuba Coll. of Technol.
Abstract :
A novel method is described for automatically modeling virtual cities. A city is considered to be composed of several city blocks, and each block has feature values, such as average building height. The feature values are determined using a genetic algorithm. A chromosome represents the building layout of a virtual city and a fitness function is used to measure the similarity between neighboring blocks. Experimental results showed that this method produces realistic virtual cities
Keywords :
genetic algorithms; virtual reality; automatic virtual city modelling; average building height; building layout; chromosome; city blocks; feature values; fitness function; genetic algorithms; neighboring block similarity measurement; Augmented virtuality; Biological cells; Cities and towns; Educational institutions; Floors; Genetic algorithms; Information science; Reactive power; Roads; Web sites;
Conference_Titel :
Soft Computing Methods in Industrial Applications, 1999. SMCia/99. Proceedings of the 1999 IEEE Midnight-Sun Workshop on
Conference_Location :
Kuusamo
Print_ISBN :
0-7803-5280-7
DOI :
10.1109/SMCIA.1999.782722