Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-03-29
Dans ACRI 2006 - 7th International Conference on Cellular Automata For Research and Industry - ACRI 2006, France (2006)
Computer Science
Neural and Evolutionary Computing
Scientific paper
We study in detail the fitness landscape of a difficult cellular automata computational task: the majority problem. Our results show why this problem landscape is so hard to search, and we quantify the large degree of neutrality found in various ways. We show that a particular subspace of the solution space, called the "Olympus", is where good solutions concentrate, and give measures to quantitatively characterize this subspace.
Collard Philippe
Tomassini Marco
Vanneschi Leonardo
Verel Sébastien
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