The active power filter has gained much more attention because of its effective performance to mitigate the harmonics. This paper presents shunt active power filter (SAPF) controlled by PI controller to compensate the harmonics. Also, it introduces a new artificial intelligent technique called Bacterial Foraging Optimization to optimize the parameters of the PI-controller through on-line self-a...

This paper proposes a bacterial foraging based approach for portfolio optimization problem. We develop an improved portfolio optimization model by introducing the endogenous and exogenous liquidity risk and the corresponding indexes are designed to measure the endogenous/exogenous liquidity risk, respectively. Bacterial foraging optimization (BFO) is employed to find the optimal set of portfoli...

Image Registration (IR) is an optimization problem computing optimal parameters of a geometric transform used to overlay one or more source images to a given model by maximizing a similarity measure. In this paper the use of bio-inspired optimization algorithms in image registration is analyzed. Results obtained by means of three different algorithms are compared: Bacterial Foraging Optimizatio...

Wireless Sensor Networks (WSNs) are networks of spatially distributed autonomous nodes used to perform various monitoring tasks. Localization is a challenging issue in WSNs. Many approaches have been proposed to determine the positions of randomly deployed sensor nodes. In this paper, an attempt is made for optimizing the localization of the sensor nodes. A hybrid approach is proposed to improv...

Image Registration (IR) is an optimization problem computing optimal parameters of a geometric transform used to overlay one or more source images to a given model by maximizing a similarity measure. In this paper the use of bio-inspired optimization algorithms in image registration is analyzed. Results obtained by means of three different algorithms are compared: Bacterial Foraging Optimizatio...

Recently, germ intelligence has grabbed prime focus of research fraternity working on optimization and many such powerful algorithms have been reported till date. Of this, Bacterial foraging optimization algorithm (BFOA) has attracted a lot of attention as a high performance optimizer because of its faster convergence and global search approach. Since its inception in 2001, many variants of BFO...

The authors proposes here a method for model order reduction of linear time invariant(LTI) dynamic system using two bio-inspired computational techniques, namely, Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO). The numerator and denominator polynomial of the reduced order model of high order linear dynamic system are computed by minimizing the integral square error ...

Recently the social foraging behavior of E. coli bacteria has been used to solve optimization problems. This paper presents an approach involving Bacterial Foraging (BF) to find appropriate included angle (ψ) and there by two other slant angles (θ1, θ2) for which the V-dipole provides higher directivity in comparison to straight dipole. Symmetrical V and Straight dipole is analyzed completely u...