We investigate the ability of a genetic algorithm to design cellular automata that perform computations. The … structural analysis can also be used to explain the evolutionary process by which the strategies were designed by the genetic … algorithm. More generally, our goals are to understand how machine-learning processes can design complex decentralized systems …

based on an algorithm that combines a genetic algorithm with the Kalman filter procedure. The paper presents the results of …

Two well known stochastic optimization algorithms, simulated annealing and genetic algorithm are compared when using a … trade-off between optimization and execution time. Simulated annealing appears to be more efficient than the genetic … algorithm. With regard to the bias problem, the randomly weighted version of simulated annealing allows to achieve a solution …

The paper presents a genetic algorithm (GA) for the container loading problem. The main ideas of the approach are first …

phenotypical correlation between parents and offspring when respecting the absolute order. It is shown that a genetic algorithm …