This paper demonstrates the application of craziness based particle swarm optimization (CRPSO) technique for designing the 8th order low pass Infinite Impulse Response (IIR) filter. CRPSO, the much improved version of PSO, is a population based global heuristic search algorithm which finds near optimal solution in terms of a set of filter coefficients. Effectiveness of this algorithm is justifi...

An operational economic model for radio resource allocation in the downlink of a multi-cell WCDMA1 system is developed in this paper, and a particle swarm optimization (PSO) based approach is proposed for its solution. Firstly, we develop an economic model for resource allocation that considers the utility of the provided service, the acceptance probability of the service by the users and the r...

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

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...

neural network algorithms have been applied to a variety of areas of engineering and microwave structures. Neural networks are also able to model nonlinear relations between different data sets. Owing to this feature, an introduced neural network model (INN) based on particle swarm optimization (PSO) training algorithm (INN-PSO) is presented for pseudomorphic high electron mobility transistor (...

Placement process is one of the vital stages in physical design. In this stage, modules and elements of circuit are placed in distinct locations according to optimization basis. So that, each placement process tries to influence on one or more optimization factor. In the other hand, it can be told unequivocally that FPGA is one of the most important and applicable devices in our electronic worl...

Image segmentation is an important research issue in image processing. In this paper, hybridizing of the PSO and BBO algorithm for 2-D image segmentation is implemented. The common features from PSO and BBO algorithm are used and then hybridized for the segmentation. The results are evaluated on the basis of parameters; PSNR and SSIM. The results depicts that the proposed hybrid algorithm perfo...

In the last decades, many efforts have been made to solve multimodal optimization problems using Particle Swarm Optimization (PSO). To produce good results, these PSO algorithms need to specify some niching parameters to define the local neighborhood. In this paper, our motivation is to propose the novel neighborhood structures that remove undesirable niching parameters without sacrificing perf...

Swarm Intelligence (SI) is a relatively new technology that takes its inspiration from the behavior of social insects and flocking animals. In this paper, we focus on two main SI algorithms: Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). An extension of ACO algorithm and a PSO algorithm has been implemented to solve the portfolio optimization problem, which is a continuous...

voltage profile and losses are important factors in a distribution network in which there arevariety of ways to improve them. in this paper, distributed generation (dg) is used as a solutionto improve the above characteristics. backward/forward sweep load flow algorithm is used dueto the inefficiency of usual load flow algorithms because of high r/x ratio and their lack ofconvergence in distrib...