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GECCO
2005
Springer

Terrain generation using genetic algorithms

9 years 5 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most popular approach, fractal-based terrain generation, is efficient, but is difficult for a user to control. Other methods tend to require too much user input. In this paper, we provide an alternative method of terrain generation that uses a two-pass genetic algorithm approach to produce a variety of terrain types using only intuitive user inputs. We allow a user to specify a rough sketch of terrain region boundaries, and we refine these boundaries using a genetic algorithm. We then couple this with a database of given terrain data to generate an artificial terrain, which we optimize using a second genetic algorithm. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling General Terms Alg...
TeongJoo Ong, Ryan Saunders, John Keyser, John J.
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors TeongJoo Ong, Ryan Saunders, John Keyser, John J. Leggett
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