| 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... | |
| 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... | |
| 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... | |
| 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... | |
| 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... | |
| |