Sentence examples for using a genetic simulation from inspiring English sources

In this paper we explore the issue of temporal neural computation from an evolutionary point of view, using a genetic simulation of the evolutionary development of neural systems.

To test the impact of the genetic model, the simulations shown in Figure 2 were also run using a genetic model where the QTL allele substitution effect was sampled at random (ignoring QTL allele frequency) from a standard normal distribution.

According to computer simulations using a genetic redundancy model [ 5], redundant genes do not persist when they are equally effective at performing their functions (Model 1).

An implicit stochastic optimization approach is applied to adaptive, multiobjective control of interconnected reservoir-assisted STAs that optimizes fuzzy rule-based operating rules using a genetic algorithm interacting with a simulation model of the stormwater drainage system.

In the present work this multi-objective design problem is tackled using a genetic algorithm, coupled to rotor performance simulation tools.

Finally, a robust design optimization procedure was conducted using a Genetic Algorithm coupled with a Monte Carlo simulation considering the total cost of the foundation and the standard deviation of differential settlement as the objectives.

Typically, in evolutionary simulation experiments a population of virtual organisms is evolved using a genetic algorithm [11] over many generations to best survive in a given environment.

For example, Liu [5] used a genetic algorithm incorporating a Monte Carlo simulation to solve the model of optimizing a bus stop-skipping scheme.

The LTL phase consists of rapid simulations that use a genetic algorithm to derive diverse sets of behaviours, encoded as variable sets of attributes, and the STL phase is an idiotypic artificial immune system.

Currat & Excoffier [46] demonstrated using a series of genetic simulations that even a small percent of genetic admixture between hunters and farmers would result in an extensive amount of pre-Neolithic contribution to the current European gene pool.

The outer shape of the AM cages was discovered using a simulation-based genetic algorithm; their inner porous structure was subsequently analyzed parametrically using T10-S1 multilevel spine models.