We introduce a high-performing composite particle swarm optimization (PSO) algorithm. In an analogy to the popular character of Mary Shelley’s famous novel, we call our algorithm Frankenstein’s PSO, as it consists of different algorithmic components drawn from other PSO variants. Frankenstein’s PSO constituents were selected after careful evaluation of their impact on speed and reliability. We ...

A new filtering algorithm — PSO-UPF was proposed for nonlinear dynamic systems. Basing on the concept of re-sampling, particles with bigger weights should be re-sampled more time, and in the PSO-UPF, after calculating the weight of particles, some particles will join in the refining process, which means that these particles will move to the region with higher weights. This process can be regard...

Placental and fetal liver blood perfusions are reduced in intrauterine growth-restricted human fetuses. We hypothesized that changes in fetal liver blood supply can alter fetal growth. In nine ewes with twin pregnancies at a gestational age of 119+/-2 days, a stent (4 mm) was placed into the ductus venosus of one twin (DV(stent) group). Alternatively, in 17 near term sheep with twin (n=11) or s...

We discover a new minimality property of the absolute minimizers supremal functionals, whose variational problems are also known as $L^\infty$ problems. In particular for every minimizer $v$ quasi-convex functional $$ {\rm ess.sup}\,{\Omega}H(x,Dv(x)), we consider set \mathcal{A}(v)=\{x: H (x,Dv(x))={\rm ess.sup}\,{\Omega}H(x,Dv(x))\}, suitably defined. If $u$ is an minimizer, give structure re...

This study aims to acquire an understanding of the fundamental feature IJV and DV under heating operation. Full-scale experiments were conducted these two different systems supply air conditions along with temperature distribution ventilation effectiveness. A wall surface test room was cooled as a load, elements simulating occupants located internal heat load contaminant emission source. Three ...

This paper presents a comprehensive study on monoand multi-objective approaches for electrical distribution network design using particle swarmoptimization (PSO). Specifically, two distribution network design problems, i.e., static and expansion planning, are solved using PSO. The network planning involves optimization of both network topology and branch conductor sizes. Both the planning probl...

The particle swarm optimizer (PSO) is a stochastic, populationbased optimization technique that can be applied to a wide range of applications. This paper presents a random time variable PSO algorithm, called the PSO-RTVIWAC, introducing random timevarying inertia weight and acceleration coefficients to significantly improve the performance of the original algorithms. The PSO-RTVIWAC method ori...

Pomegranate seed oil (PSO), which is the major source of conjugated linolenic acids such as punicic acid (PuA), exhibits strong anti-inflammatory properties. Necrotizing enterocolitis (NEC) is a devastating disease associated with severe and excessive intestinal inflammation. The aim of this study was to evaluate the effects of orally administered PSO on the development of NEC, intestinal epith...

This paper proposes an improved version of particle swarm optimization (PSO) algorithm for the training of a neural network (NN). An architecture for the NN trained by PSO (standard PSO, improved PSO) is also introduced. This architecture has a data preprocessing mechanism which consists of a normalization module and a data-shuffling module. Experimental results showed that the NN trained by im...

This is a review paper. Review is carried out in three parts. First part covered up the introduction to PSO algorithm, load balancing based on PSO and multi objective job shop scheduling by improved PSO. Second part of this paper focused on workflow scheduling in cloud based on various versions of PSO. Third part explained PSO with cloud model with a little result analysis. This survey is done ...