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Published byJason Lane Modified over 3 years ago

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Exercise 1 Francesco Abate Niccolo` Battezzati Miguel Kaouk Apprendimento mimetico

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EP – Program Flow Generate first population Generate new population by mutation Selection by tournament Goal? Max iterations? END μ μ q q σ, c.MAX_ITER μ + μ YES NO Fitness evaluation

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EP – Program Architecture ep.conf EvoConfigParser EvoConfigurator main EvoAgent ( float x[D] ) float evaluate_fitness(float (*fitnessFnc)(EvoAgent *)) bool termination(bool (*terminationFnc)(EvoAgent *))

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Experimental results μ q mean # of fitness evaluations σ = 0.8σ = 1.0σ = n.s n.s n.s D = 2, static σ

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Experimental results μ mean # of fitness evaluations q = 10q = / D = 2, dynamic σ

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Experimental results μ mean # of fitness evaluations mean # of generations q = 10q = // D = 5, dynamic σ

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Experimental results μ mean # of fitness evaluations q = 10q = / D = 10, dynamic σ

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