Работа представляет собой обзор новых и малоизвестных популяционных алгоритмов,
предназначенных для решения задачи глобальной непрерывной оптимизации …

The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …

Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …

This paper introduces a bacterial foraging algorithm (BFA) based high performance speed
control system for a DC motor. The rotor speed of the DC motor is being made to follow an …

Abnormal cardiac beat identification is a key process in the detection of heart diseases. Our
present study describes a procedure for the detection of left and right bundle branch block …

In the domain of human brain image analysis, identification of tumor region and
segmentation of tissue structures tend to be a challenging task. Automated segmentation of …

Area of computational intelligence is gaining researcher's attention in ongoing trend of
technology and evolution due to their high capability to deliver near-optimal solutions. A new …

Magnetic Resonance (MR) brain image segmentation into several tissue classes is of
significant interest to visualize and quantify individual anatomical structures. Traditionally …

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 …

Recently the Bacterial foraging optimization algorithm (BFA) has attracted a lot of attention
as a high-performance optimizer. This paper presents a hybrid approach involving Bacterial …