Economic dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non-differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of four different evolutionary algorithms i.e. genetic algorithm, bacteria foraging optimizatio...

To solve the problem that trajectory tracking control system of unmanned helicopter is limited by accuracy physical model (parameters and dynamic characteristics) external disturbance helicopter, this paper designs a based on linear/nonlinear hybrid Active Disturbance Rejection Control (ADRC). At same time, proposes method for tuning controller parameters Bacterial Foraging Optimization-Flower ...

Recently, Internet of Things (IoT) devices are highly utilized in diverse fields such as environmental monitoring, industries, smart home etc. Under such instance, a cluster head is selected among the diverse IoT devices of wireless Sensor Network (WSN) based IoT network to maintain the reliable network with efficient data transmission. To accomplish the efficient cluster head selection, we hav...

The quality of unmanned surface vehicle (USV) local path planning directly affects its safety and autonomy performance. USV might easily be trapped into optima. swarm intelligence optimization algorithm is a novel effective method to solve the path-planning problem. Aiming address this problem, hybrid bacterial foraging with simulated annealing mechanism proposed. proposed preserves three-layer...

The countenance recognition presents a challenging problem in the field of image analysis and computer vision. Also, it received a good attention over the last few years. The applications of countenance recognition in the areas such as person tracking, surveillance, protection, entertainment, theft prevention, as easily as in the growth of human machine interfaces. It has been shown that precis...

This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper, competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm is presented. The results are demonstrated with PMU placement optimization simulation and a redundancy measurement a...