This paper proposes a stochastic optimization method, based on ant colony optimization, for the optimal choice of transformer sizes to be installed in a distribution network. This method is properly introduced to the solution of the optimal transformer sizing problem, taking into account the constraints imposed by the load the transformer serves throughout its life time and the possible transfo...

This article shows the first results of the adoption of COSMIC Full Function Points as a sizing method replacing function point analysis. The main arguments why COSMIC-FFP was chosen will be explained, the transformation plan will be shown together with the first results of the use of COSMIC-FFP. Next to the management requirement that the new functional sizing method had to be a standard a num...

This chapter presents a review of adaptive population sizing schemes used in genetic algorithms. We start by briefly revisiting theoretical models which rely on a facetwise design decomposition, and then move on to various self-adjusting population sizing schemes that have been proposed in the literature. For each method, the major advantages and disadvantages are discussed. The chapter ends wi...

OBJECTIVES The precise sizing of the aortic annulus is crucial in order to select the most appropriate valve size for transcatheter aortic valve implantation (TAVI). Owing to the closed heart situation in TAVI, sizing has to be performed based on preoperative imaging when compared with direct sizing during conventional procedures. The aim of the study was to evaluate valve sizing performed eith...

Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. Many researchers have used evolutionary methods for finding the optimal DG placement and sizing. This paper proposes a hybrid algorithm PSO&HBMO for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total power loss...

We show for the general dynamic lot sizing model how minimal forecast horizons may be detected by a slight adaptation of an earlier 0(n log n) or 0(n) forward solution method for the model. A detailed numerical study indicates that minimal forecast horizons tend to be small, that is, include a small number of orders. We describe a new planning approach to ensure stability of the lot sizing deci...

A new method of Second order PSO for a more effective capacitor sizing in radial distribution feeders to reduce the real power loss and to improve the voltage profile is proposed. The location of the nodes where the capacitors should be placed is decided by a set of rules given by the fuzzy expert system and the sizing of the capacitors is modeled by the objective function to obtain maximum sav...

We study the following lot-sizing models that recently appeared in the literature: a lotsizing model with a remanufacturing option, a lot-sizing model with production time windows, and a lot-sizing model with cumulative capacities. We show the equivalence of these models with a classical model: the lot-sizing model with inventory bounds.