The Breeder Genetic Algorithm (BGA) is based on the equation for the response to selection. In order to use this equation for prediction , the variance of the tness of the population has to be… (More)

In this paper a new genetic algorithm called the Breeder Genetic Al gorithm BGA is introduced The BGA is based on arti cial selection similar to that used by human breeders A predictive model for the… (More)

The Breeder Genetic Algorithm (BGA) was designed according to the theories and methods used in the science of livestock breeding. The prediction of a breeding experiment is based on the response to… (More)

In this paper the optimization of additively decomposed discrete functions is investigated. For these functions genetic algorithms have exhibited a poor performance. First the schema theory of… (More)

In this paper mutation and hillclimbing are analyzed with the help of representative binary functions and a simple asexual evolutionary algorithm. An optimal mutation rate is computed and a good… (More)

The parallel genetic algorithm (PGA) uses two major modiications compared to the genetic algorithm. Firstly, selection for mating is distributed. Individuals live i n a 2-D w orld. Selection of a… (More)

The Factorized Distribution Algorithm (FDA) is an evolutionary algorithm which combines mutation and recombination by using a distribution. The distribution is estimated from a set of selected… (More)

Miihlenbein, H., M. Schomisch and J. Born, The parallel genetic algorithm as function optimizer, Parallel Computing 17 (1991) 619-632. In this paper, the parallel genetic algorithm PGA is applied to… (More)

Abs t rac t In this paper we introduce our asynchronous parallel genetic algorithm ASPARAGOS. The two major extensions compared to genetic algorithms are the following. First, individuals live on a… (More)