In this paper, the approach focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution. The aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation. To provide this assessment, several experiments have b...

We analyse the scaling matrix, search direction, and neighbourhood used in MOSEK's algorithm for nonsymmetric conic optimization [J. Dahl E.D. Andersen, A primal-dual interior-point f...

[1] Issues controlling efficient parallel implementations of a popular direct search inversion algorithm are analyzed and discussed. A naive parallelization of a particular method, the Neighbourhood parameter search algorithm, leads to inefficient use of parallel architecture through lack of scalability and intolerance to hardware faults. These factors are quantified, and their origins are expl...

A new population-based search algorithm called the Bees Algorithm (BA) is presented. The algorithm mimics the food foraging behaviour of swarms of honey bees. In its basic version, the algorithm performs a kind of neighbourhood search combined with random search and can be used for both combinatorial optimisation and functional optimisation. This paper focuses on the latter. Following a descrip...

This paper introduces a new kind of local consistency based on the general idea of singleton arc consistency (SAC). This is a reduced form of SAC that only considers neighbourhoods of a variable with a singleton domain; hence, the name “neighbourhood SAC” (NSAC). Like AC and SAC, NSAC has a unique fixpoint, so that NSAC algorithms will produce the same result when applied to a problem regardles...