Book | Chapter
Evolving cellular automata for maze generation
pp. 112-124
Abstract
This paper introduces a new approach to the procedural generation of maze-like game level layouts by evolving CA. The approach uses a GA to evolve CA rules which, when applied to a maze configuration, produce level layouts with desired maze-like properties. The advantages of this technique is that once a CA rule set has been evolved, it can quickly generate varying instances of maze-like level layouts with similar properties in real time.
Publication details
Published in:
Randall Marcus (2015) Artificial life and computational intelligence: first Australasian conference, acalci 2015, Newcastle, nsw, India, february 5-7, 2015. proceedings. Dordrecht, Springer.
Pages: 112-124
DOI: 10.1007/978-3-319-14803-8_9
Full citation:
Pech Andrew, Hingston Philip, Masek Martin, Peng Lam Chiou (2015) „Evolving cellular automata for maze generation“, In: M. Randall (ed.), Artificial life and computational intelligence, Dordrecht, Springer, 112–124.