The spatial genetic algorithm (SGA) is presented. Locality is realized by mapping GA population on a cellular automata. The role of neighborhood in genetic search is shown by comparing SGA with the parallel recornbinative simulated annealing (PRSA) approach proposed by Mahfoud and Goldberg in [1]. It appears, that not optimized SGA outdoes PRSA in loose and is only slightly worse in tight optim...

Bee colony optimization (BCO) is one of the most recent algorithms in swarm intelligence that can be used in optimization problems this algorithm is based on the intelligent behavior of honey bees in foraging process. In this paper bee colony optimization is applied to solve the task scheduling problem which tasks have dependency with each other. Scheduling of tasks that represents by directed ...

We investigate in situ the structural changes during self-assembly of PbS nanocrystals from colloidal solution into superlattices, solvent evaporation, and ligand exchange at the acetonitrile/air interface by grazing incidence small-angle X-ray scattering (GISAXS). We simulate and fit the diffraction peaks under the distorted wave Born approximation (DWBA) to determine the lattice parameters. W...

By employing atomistic computer simulations with empirical potential and density functional force models, we study B/N ion implantation onto carbon nanotubes. We simulate irradiation of single-walled nanotubes with B and N ions and show that up to 40% of the impinging ions can occupy directly the sp2 positions in the nanotube atomic network. We further estimate the optimum ion energies for dire...

The aim of this research was to develop a flexible, high quality articulatory speech synthesis tool. One feature of this research tool is the simulated annealing optimization procedure that is used to optimize the vocal tract parameters to match a specified set of formant characteristics. Another aspect of this study is the derivation of a new form of the acoustic equations. A transmission-line...

The first article presents a complete TCAD flow for typical high-performance 45-nm CMOS technologies, such as the ones being readied for production at major foundries and integrated device manufacturers around the world. This work incorporates approaches to simulate innovative process steps such as laser annealing and high-k gate dielectrics, a necessity in the continual challenge to contain sh...

Many real-world optimization problems in, e. g., engineering or biology have the property that not much is known about the function to be optimized. This excludes the application of problem-specific algorithms. Simple randomized search heuristics are then used with surprisingly good results. In order to understand the working principles behind such heuristics, they are analyzed on combinatorial...

The design of cathodic protection systems normally relies on a combination of experience, experimental data and heuristics. However, problems and failures of CP systems not only has an economic cost, it can also present a threat to life and the environment. This paper will describe the application of a software system designed to simulate the performance of cathodic protection systems and predi...

0022-3115/$ see front matter Published by Elsevier doi:10.1016/j.jnucmat.2008.12.318 * Corresponding author. Tel.: +1 310 794 5990; fax E-mail address: [email protected] (S. Sharafat). Bubble growth and gas release during annealing of helium implanted tungsten is described using a Kinetic Monte Carlo approach. Implantation of tungsten with low energy He ions results in the unusual formation of ...