Titlebook: Natural Computing Algorithms; Anthony Brabazon,Michael O‘Neill,Seán McGarraghy Textbook 2015 Springer-Verlag Berlin Heidelberg 2015 Artifi

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Genetic Algorithmf adaptation in complex systems, wherein the evolution of a population of adapting entities is simulated over time by means of a pseudonatural selection process using differential-fitness selection, and pseudogenetic operators to induce variation in the population.

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Neural Networks for Unsupervised Learningusted in response to the difference which arises at the output node(s) between the MLP’s output and the correct, known, output for a given training vector. The network is therefore trained using a feedback mechanism.

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Introduction,ose phenomena (e.g., artificial life, agent based modelling and computational biology); and the third strand, which forms the subject matter of this book, is concerned with the development of computational algorithms which draw their metaphorical inspiration from systems and phenomena that occur in the natural world.

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