Evolutionary Algorithms are general-purpose problem solvers that can evolve good solutions by mimicking nature's behaviour as regards evolution of populations. Among them, Genetic Algorithms and Genetic Programming are broadly known and used. In this paper they are described and applied to efficiently face two problems: Explicit Rule Induction for classification purposes and Kolmogorov Complexity estimate for binary strings.
Evolution as a problem solver
I De Falco
1999
Abstract
Evolutionary Algorithms are general-purpose problem solvers that can evolve good solutions by mimicking nature's behaviour as regards evolution of populations. Among them, Genetic Algorithms and Genetic Programming are broadly known and used. In this paper they are described and applied to efficiently face two problems: Explicit Rule Induction for classification purposes and Kolmogorov Complexity estimate for binary strings.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
