Neutral Fitness Landscape in the Cellular Automata Majority Problem

Details Neutral Fitness Landscape in the Cellular Automata Majority Problem Neutral Fitness Landscape in the Cellular Automata Majority Problem

2008-03-29

arxiv.org/abs/0803.4240v1

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.

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