Now showing items 1-4 of 4
Constrained particle swarm optimization using a bi-objective formulation
(Springer Verlag, 2010)
This paper introduces an approach for dealing with constraints when using particle swarm optimization. The constrained, single objective optimization problem is converted into an unconstrained, bi-objective optimization ...
An algorithm for fast optimal Latin hypercube design of experiments
This paper presents the translational propagation algorithm, a new method for obtaining optimal or near optimal Latin hypercube designs (LHDs) without using formal optimization. The procedure requires minimal computational ...
Using a filter-based SQP algorithm in a parallel environment
(American Institute of Aeronautics and Astronautics, 2009-12)
A parallel, filter-based, sequential quadratic programming (SQP) algorithm is implemented and tested for typical general-purpose engineering applications. Constrained engineering test problems, including a finite element ...
Numerical optimisation of a small-scale wind turbine through the use of surrogate modelling
(University of Cape Town, Energy Research Centre, 2017)
ENGLISH ABSTRACT: Wind conditions in South Africa are suitable for small-scale wind turbines, with wind speeds below 7 m.s−1. This investigation is about a methodology to optimise a full wind turbine using a surrogate ...