Antenna array is the most important aspect to improve the communication process. The objective of this paper are to minimize the maximum side lobe level (SLL) and perform null steering for linear antenna arrays by controlling different parameters of the array elements (phase, position and amplitude). The Nature inspired optimization methods like Taguchi’s Optimization Method (TM), Self-Adaptive...

In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the p...

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box–Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market price forecasting. In this paper, a forecasting model based on chaotic mapping, firefly algorithm, and support vector regression (SVR) is propo...

Data clustering is a process of arranging similar data in different groups based on certain characteristics and properties, each group considered as cluster. In the last decades, several nature-inspired optimization algorithms proved to be efficient for computing problems. Firefly algorithm one metaheuristic regarded an tool many issues areas such clustering. To overcome velocity, firefly can i...

Color Image quantization (CQ) is an important problem in computer graphics, image and processing. The aim of quantization is to reduce colors in an image with minimum distortion. Clustering is a widely used technique for color quantization; all colors in an image are grouped to small clusters. In this paper, we proposed a new hybrid approach for color quantization using firefly algorithm (FA) a...

This paper presents the use of Self Adaptive Firefly Algorithm to identify the optimal placement of Thyristor Controlled Series Compensator (TCSC) in a power system network. The objective is to minimise the transmission loss in power system network with the placement of TCSC. To validate the proposed algorithm, simulations are performed on three IEEE test system using MATLAB software package. S...

the present study is concerned with optimal shape determination of inhomogeneous and temperature dependent domains under steady state heat conduction. such situations are important in many thermal design problems, especially in shape design of electronic components and chips. in the present paper, we formulate the shape optimization problem based on volume minimization of heat conductive materi...