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Evolutionary algorithm are prevalently being used in static environments. In a dynamically changing environment an evolutionary algorithm must be also able to cope with the changes of the environment. This paper describes an algorithm based on Cartesian Genetic Programming (CGP) that is used to design and optimise a solution in a simulated symbolic regression problem in a changing environment. A modified...
This paper presents evolutionary design of two-dimensional, uniform cellular automata. The problem of replicating loops is considered as a case study. Conditionally matching rules are used as a technique that is suitable to the design of cellular automata state transition rules. A genetic algorithm is applied to the design of cellular automata that satisfy the requirements of replicating loops. It...
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