How neutral networks influence evolvability
Complexity
On the analysis of the (1+ 1) evolutionary algorithm
Theoretical Computer Science
On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
IEEE Transactions on Evolutionary Computation
Genetic Programming and Evolvable Machines
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Many important fitness functions in Evolutionary Computation (EC) have high degree of neutrality i.e. large regions of the search space with identical fitness. However, the impact of neutrality on the runtime of Evolutionary Algorithms (EAs) is not fully understood. This work analyses the impact of the accessibility between neutral networks on the runtime of a simple randomised search heuristic. The runtime analysis uses a connection between random walks on graphs and electrical resistive networks.