Neutral Fitness Landscape in the Cellular Automata Majority Problem
نویسندگان
چکیده
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
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ha l - 00 16 46 73 , v er si on 1 - 2 8 M ar 2 00 8 Neutral Fitness Landscape in the Cellular Automata Majority Problem
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 quantit...
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