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CityBreeder: city design with evolutionary computation

Published: 12 July 2014 Publication History

Abstract

The process of creating city designs is a complex, time-consuming endeavor. This paper presents CityBreeder, a system which uses Evolutionary Computation to enable the rapid, user-guided development of city designs based on the blending of multiple existing designs.

References

[1]
D. G. Aliaga, C. A. Vanegas, and B. Beneš. Interactive example-based urban layout synthesis. In ACM SIGGRAPH Asia 2008 papers, SIGGRAPH Asia '08, pages 160:1--160:10, New York, NY, USA, 2008. ACM.
[2]
A. Cohen. Citybreeder: City design with evolutionary computation. Master's thesis, Carleton University, 2013.
[3]
OpenStreetMap. Openstreetmap. http://www.openstreetmap.org/. Accessed July 2012.
[4]
Y. Parish and P. Müller. Procedural modeling of cities. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pages 301--308. ACM, 2001.
[5]
M. Tang. City generator: Gis driven genetic evolution in urban simulation. Master's thesis, Savannah College of Art and Design, 2008.
[6]
P. Walsh and P. Gade. Terrain generation using an interactive genetic algorithm. In 2010 IEEE Congress on Evolutionary Computation (CEC), pages 1--7, July 2010.

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Published In

cover image ACM Conferences
GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
July 2014
1524 pages
ISBN:9781450328814
DOI:10.1145/2598394
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2014

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Author Tags

  1. city design
  2. computational geometry
  3. evolutionary computation
  4. genetic programming
  5. genetic representation
  6. interactive design
  7. urban planning

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Conference

GECCO '14
Sponsor:
GECCO '14: Genetic and Evolutionary Computation Conference
July 12 - 16, 2014
BC, Vancouver, Canada

Acceptance Rates

GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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