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- Rania Hassan, Babak Cohanim, Olivier L. de Weck, Gerhard A Venter
- 2005

Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations. PSO is similar to the Genetic Algorithm (GA) in the sense that these two evolutionary heuristics are population-based search methods. In other words, PSO and the GA move from a set… (More)

1. Abstract A parallel Particle Swarm Optimization (PSO) algorithm is presented. Particle swarm optimization is a fairly recent addition to the family of non-gradient based, probabilistic search algorithms that is based on a simplified social model and is closely tied to swarming theory. Although PSO algorithms present several attractive properties to the… (More)

The purpose of this paper is to show how the search algorithm known as particle swarm optimization performs. Here, particle swarm optimization is applied to structural design problems, but the method has a much wider range of possible applications. The paper's new contributions are improvements to the particle swarm optimization algorithm and conclusions… (More)

1. Abstract A parallel Particle Swarm Optimization (PSO) algorithm is presented. Particle swarm optimization is a fairly recent addition to the family of non-gradient based, probabilistic search algorithms that is based on a simplified social model and is closely tied to swarming theory. Although PSO algorithms present several attractive properties to the… (More)

- Brandon William Weber, Serah W. Kimani, +5 authors B. T. Sewell
- The Journal of biological chemistry
- 2013

All known nitrilase superfamily amidase and carbamoylase structures have an additional glutamate that is hydrogen bonded to the catalytic lysine in addition to the Glu, Lys, Cys "catalytic triad." In the amidase from Geobacillus pallidus, mutating this glutamate (Glu-142) to a leucine or aspartate renders the enzyme inactive. X-ray crystal structure… (More)

The main purpose of this paper is to draw attention to existing commercial general-purpose optimization tools. The representative capabilities of such tools are discussed using VisualDOC by Vanderplaats Research and Development, Inc. as an example. The ease of use of VisualDOC allows a person without an optimization background to start applying optimization… (More)

- Gerhard A Venter
- 1999

The paper focuses on modelling uncertainty typical of the aircraft industry. The design problem involves maximizing a safety measure of an isotropic plate for a given weight. Additionally, the dependence of the weight on the level of uncertainty, for a specified allowable possibility of failure, is also studied. It is assumed that the plate will be built… (More)

- Gerhard A Venter, Helgard Raubenheimer, Jan Dillen
- The journal of physical chemistry. A
- 2007

Model complexes of the general form M(CO)m(H)n(O3) (m = 1-5, n = 0 or 1) between ozone and the transition metals Ti to Cu were studied by density functional theory (DFT) calculations. The CDA charge decomposition method was used to analyze the interaction between the metal atom and the ozone ligand in terms of the traditional donation-back-donation… (More)

- Richard P Matthews, Gerhard A Venter, Kevin J. Naidoo
- The journal of physical chemistry. B
- 2011

We investigate the hydration structure and water/ion dynamics about complex anions using a revised platinum group metal chloro-anion force field. Nanosecond atomistic molecular dynamics simulations were performed for the platinum group metal chloro-anion complexes. This investigation makes the first attempt at describing diffusion trends of polyatomic… (More)

Numerical design optimization is a powerful tool that can be used by engineers during any stage of the design process. There are many different applications for structural optimization. A specific application that will be discussed in the following paper is experimental data matching. Data obtained through tests on a physical structure will be matched with… (More)