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" GAs operate on a population of potential solutions applying the principle of survival of the fittest to produce (hopefully) better and better approximations to a solution. At each generation, a new set of approximations is created by the process of selecting... "
Advances in Data Mining - Theoretical Aspects and Applications: 7th ... - 68. lappuse
laboja - 2007 - 356 lapas
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Genetic Algorithms in Engineering Systems

Ali M. S. Zalzala, Peter J. Fleming - 1997 - 286 lapas
...which there are currently no other direct methods of solution. 1.1 What are genetic algorithms? The GA is a stochastic global search method that mimics the metaphor of natural biological evolution [5]. GAs operate on a population of potential solutions applying the principle of survival of the fittest...
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Nonlinear Identification and Control: A Neural Network Approach

G.P. Liu - 2001 - 234 lapas
...research work in this field has been carried out to develop genetic algorithms. Now, the genetic algorithm is a stochastic global search method that mimics the metaphor of natural biological evolution. Applying the principle of survival of the fittest to produce better and better approximations to a...
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European Symposium on Computer Aided Process Engineering - 13: 36th European ...

Andrzej Kraslawski, Ilkka Turunen - 2003 - 1174 lapas
...method and Genetic Algorithm are both carried out. Genetic Algorithms' Overview: The Genetic Algorithms is a stochastic global search method that mimics the metaphor of natural biological evolution. GAs operate on a population of potential solutions applying the principle of survival of the fittest...
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Fuzzy Logic and Applications: 6th International Workshop, WILF 2005, Crema ...

Isabelle Bloch, Alfredo Petrosino, Andrea G.B. Tettamanzi - 2006 - 451 lapas
...parameter m denotes the number of segments Sk = (3k - ak (see equation 6). Now we have to mark that the GA is a stochastic global search method that mimics the metaphor of natural biological evolution [3, 2, 8]. From one hand one of the main problems that we have to apply a GA is to define the structure...
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Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Patricia Melin, Oscar Castillo, Eduardo G. Ramírez, Witold Pedrycz - 2007 - 855 lapas
...were invented by John Holland and developed by him and his students and colleagues [10] [11]. GAs are a stochastic global search method that mimics the metaphor of natural biological evolution. GAs operate on a population of potential solutions by applying the principle of survival of the fittest...
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