Antenna arrays have been used for various applications in wireless communications, Radar, satellite communications and mobile communications. Low sidelobe antenna arrays are need to be designed for increasing the efficiency of the communication systems. In this paper, an enhanced version of particle swarm optimization (PSO) known as improved local search particle swarm optimization (ILSPSO) is ...

Design of an FIR filter as per expected response is a field of wide interest. Now a day evolutionary algorithm are in lime light for filter design problem. Among the various algorithms bare bones particle swarm optimization (BBPSO) has capability to perform operation in multidimensional space with less number of control parameter, this make the algorithm simple and it is applied by simple compu...

This paper studies a facility location model with fuzzy random parameters and its swarm intelligence approach. A Value-at-Risk (VaR) based fuzzy random facility location model (VaR-FRFLM) is built in which both the costs and demands are assumed to be fuzzy random variables, and the capacity of each facility is unfixed but a decision variable assuming continuous values. Under this setting, the V...

Image retrieval system as a reliable tool can help people in reaching efficient use of digital image accumulation; also finding efficient methods for the retrieval of images is important. Color and texture descriptors are two basic features in image retrieval. In this paper, an approach is employed which represents a composition of color moments and texture features to extract low-level feature...

Changes of arterial pressure waveform characteristics have been accepted as risk indicators of cardiovascular diseases. Waveform modelling using Gaussian functions has been used to decompose arterial pressure pulses into different numbers of subwaves and hence quantify waveform characteristics. However, the fitting accuracy and computation efficiency of current modelling approaches need to be i...

This research presents an optimization technique for multiple routes generation using simulated niche based particle swarm optimization for dynamic online route planning, optimization of the routes and proved to be an effective technique. It effectively deals with route planning in dynamic and unknown environments cluttered with obstacles and objects. A simulated niche based particle swarm opti...

Particle swarm optimization (PSO) is originally developed as an unconstrained optimization technique, therefore lacks an explicitmechanism for handling constraints.When solving constrained optimization problems (COPs) with PSO, the existing research mainly focuses on how to handle constraints, and the impact of constraints on the inherent search mechanism of PSO has been scarcely explored. Moti...

In this paper, a new modified particle swarm optimization, m-PSO, is proposed, in which the novelty consists of proposing fitness-based optimization algorithm, PSO, adapts particles’ behavior rather than PSO parameters and where particles evolve differently considering their level optimality. A multi-objective MO, approach then built based on m-PSO. proposed method, with fitness better mean loc...

Abnormal Magnetic Resonance (MR) brain image classification is a mandatory but challenging task in the medical field. Accurate identification of the nature of the disease is highly essential for the successful treatment planning. Automated systems are highly preferred for image classification because of its high accuracy. Artificial neural networks are one of the widely used automated technique...