we have applied the method of integration of the heisenberg equation of motion proposed by bender and dunne, and m. kamella and m. razavy to the potential v(q) = v q - µ q with linear and nonlinear dissipation. we concentrate our calculations on the evolution of basis set of weyl ordered operators and calculate the mean position , velocity , the commutation relation [q, p], and the energy of pa...

Based on introducing two optimization algorithms, group search optimization (GSO) algorithm and particle swarm optimization (PSO) algorithm, a new hybrid optimization algorithm which named particle swarm-group search optimization (PS-GSO) algorithm is presented and its application to optimal structural design is analyzed. The PS-GSO is used to investigate the spatial truss structures with discr...

the aim of this paper is to study a multi-product, multi-period production systems in a hybrid flow shop so that lot-sizing and scheduling will be detemined simultaneously. a new mixed-integer programming model is proposed to formulate the studied problem. the objective function in this investigation includes the total cost of production, inventory and external supply. in the case of not satisf...

The main challenge in articulated body motion tracking is the large number of degrees of freedom (around 30) to be recovered. Search algorithms, either deterministic or stochastic, that search such a space without constraint, fall foul of exponential computational complexity. One approach is to introduce constraints — either labelling using markers or colour coding, prior assumptions about moti...

This paper introduces using Particle Swarm Optimization algorithm (PSO) to improve the robot motion to arrive to its goal in cluttered environments. The Particle Swarm Optimizer is used to optimize the forces applied to the robot by selecting optimum factors of these applied forces. This improvement raises the robot ability to avoid the obstacles. A measure of smoothness is used to guide the PS...

Visual tracking needs modeling inter-frame motion and appearance changes. In conventional visual tracking algorithms, the appearance model is either fixed or rapidly changing, and the motion model is simply a random walk with fixed noise variance. Also, if particle filter is used for solving tracking problem, the the number of particles is typically fixed. All these factors make the visual trac...