In this paper, we generalize the models used by MacKay [1] in his analysis of evolutionary strategies that are based on sexual, rather than asexual, reproduction methods. This analysis can contribute to the understanding of the relative power of genetic algorithms over search methods based upon stochastic hill-climbing, e.g. [2], [3].

Parallel algorithms based on stochastic hill-climbing and parallel algorithms based on simple elements of a genetic algorithm for the one-sided bipartite crossing number problem, used in row-based vlsi layout, were investigated. These algorithms were run on a pvm cluster. The experiments show that the parallel approach does not bring faster computation but it does, however, much more importantl...

introduction: spatial variation of soil properties is significantly influenced by numerous environmental factors such as landscape features, including position, topography, slope gradient and aspect, parent material, climate and vegetation. soil properties vary spatially in south- and north-facing hill slopes. this factor (different slope aspects) can affect the distribution of soil organic mat...

conclusions glenohumeral joint reduction with reconstruction of the humeral head seems to be possible even in a neglected locked posterior shoulder fracture-dislocation. if the depressed osteochondral fragment is still spheric, signs of the avascular necrosis are absent on ct, and mal:union: of the fragment has occurred, it is quite possible to reconstruct the head. although results of the case...

L EARNING automata [1] have attracted a considerable interest in the last three decades. They are adaptive decision making devices that operate in unknown stochastic environments and progressively improve their performance via a learning process. They have been initially used by psychologists and biologists to describe the human behavior from both psychological and biological viewpoints. Learni...

How the spatial perturbations of the first and second moments of the velocity and pressure fields differ for flow over a train of gentle hills covered by either sparse or dense vegetation is explored using large-eddy simulation (LES). Two simulations are investigated where the canopy is composed of uniformly arrayed rods each with a height that is comparable to the hill height. In the first sim...

Ted Hill is professor emeritus of mathematics at Georgia Tech, and has held visiting appointments in Costa Rica, Germany (Gauss Professor), Holland (NSF-NATO Fellow), Israel, Italy, and Mexico. He studied at West Point (B.S.), Stanford (M.S.), Göttingen (Fulbright Scholar), and Berkeley (M.A., Ph.D.), and his primary research interests are in mathematical probability, especially optimal-stoppin...

By combining two distinct renormalization group transformations, opposing scale transformations, we obtain a composite transformation which does not rescale the system, and drives it to a “geometrical” fixed point, controlling the effective geometry and locality. The latticized (deconstructed) action for an extra-dimensional field theory becomes a “perfect action,” with a linear ladder spectrum...