So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

In order to process target tracking approximation with unknown motion state models beforehand in a twodimensional field of binary proximity sensors, the algorithms based on cost functions of particle filters and near-linear curve simple optimization are proposed in this paper. Through moving target across detecting intersecting fields of sensor nodes sequentially, cost functions are introduced ...

This experiment focuses on particle tracking, a key task in contemporary biophysics necessary to characterize the motion of cells, intracellular structures, and molecular machines. Tracking is accomplished by collecting the photons emitted by a point source with a CCD camera on a microscope, and subsequently fitting the intensity distribution (the point spread function) on each frame. The cente...

This contribution deals with an optimal design of a brushless DC motor, using optimization algorithms, based on collective intelligence. For this purpose, the case study motor is perfectly explained and its significant specifications are obtained as functions of the motor geometric parameters. In fact, the geometric parameters of the motor are considered as optimization variables. Then, the obj...

in the current study, the immersed boundary – non-newtonian lattice boltzmann method is developed for simulation of forces act on a particle and also for computation of the particle velocity in vicinity of non-newtonian fluids. in this research, the effect of extra force due to accelerated mass is also considered in non-newtonian particle motion equations. two applied problems of power-law non-...

This project aims to accelerate various particle system effects so that they may be used in a real-time environment. The particle system computations will be executed on the GPU so as to maintain high performance, and various approximation algorithms will be used to try and improve the efficiencies of the implementations of reasonably complex particle system effects. Such effects include the N-...