We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
We present a memetic algorithm that dynamically optimizes the design of a wireless sensor network towards energy conservation and extension of the life span of the network, taking ...
Konstantinos P. Ferentinos, Theodore A. Tsiligirid...
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...