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Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation)

From Pedro Larra aga




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 | #9093176 in Books |  Pedro Larra aga |  2002-10-01 | Original language:English | PDF # 1 |  9.21 x.94 x6.14l,1.80 | File type: PDF | 382 pages

 | Estimation of Distribution Algorithms

||5 of 5 people found the following review helpful.| Many topics covered, some chapters are a little weak|By A Customer|This is a good book to learn about Estimation of Distribution Algorithms (EDAs or also called DEAs or Iterated DEAs). These algorithms are similar to evolutionary algorithms, but do not use the crossover or mutation operators of evolutionary search. EDAs instead create a probabilistic model of good solutions and

Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in s...

You easily download any file type for your device.Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation)   |  From Pedro Larra aga. Just read it with an open mind because none of us really know.

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