In this paper, an intelligent swarm based-wavelet neural network for affective mobile designed is presented. The contribution on this paper is to develop a new intelligent particle swarm optimization (iPSO), where a fuzzy logic system developed based on human knowledge is proposed to determine the inertia weight for the swarm movement of PSO and the control parameter of a newly introduced cross...

In order to meet security requirements of space on orbit service, an obstacle avoidance trajectory planning method using improved particle swarm optimization had been presented in this paper. On the basis actual overall structure 7 degrees freedom redundant manipulator and characteristics obstacles, envelope was used model arm respectively. The limit conditions avoid collision between them were...

Dynamic economic load dispatch is one of the most important roles of power generation’s operation and control. It determines the optimal controls of production of generator units with predicted load demand over a certain period of time. Economic dispatch a subjects in the power network’s operation, which is a complicated nonlinear constrained optimization problem. Since dynamic economic load di...

Circular antenna array has gained immense popularity in the field of communications nowadays. It has proved to be a better alternative over other types of antenna array configuration due to its all-azimuth scan capability, and a beam pattern which can be kept invariant. This paper is basically concerned with the thinning of a large multiple concentric circular ring arrays of uniformly excited i...

In this paper, an improved particle filter (Improved Particle Swarm Optimized Filter, IPSO-PF) algorithm is proposed to estimate the state of charge (SOC) lithium-ion batteries. It solves problem inaccurate posterior estimation due degradation. The divides population into three parts and designs different updating methods realize self-variation mutual learning particles, which effectively promo...

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 paper presents an off-line optimal trajectory planning for differential-drive rover through simulation of the dynamic model. The paper starts with the model dynamics of an actual rover built in our space science and technology lab (SSTLab) and controlled by simple PD controllers. Next, the proposed optimization technique used is presented which is called Incremented Particle-Swarm Optimiza...

Cellular manufacturing system, an application of group technology, has been considered as an effective method to obtain productivity in a factory. For design of manufacturing cells, several mathematical models and various algorithms have been proposed in literature. In the present research, we propose an improved version of discrete particle swarm optimization (PSO) to solve manufacturing cell ...

The active and reactive power flow in distribution networks can be effectively controlled by optimally placing Shunt Capacitors (SCs) and Distributed Generators (DGs). This paper presents improved versions of three evolutionary or swarm-based search algorithms, namely, Improved Genetic Algorithm (IGA), Improved Particle Swarm Optimization (IPSO) and Improved Cat Swarm Optimization (ICSO) to eff...