In this paper, design approach of PID controller with rejection function against external disturbance in motor control system is proposed using bacterial foraging based optimal algorithm. Up to the present time, PID Controller has been used to operate for AC motor drive because of its implementational advantages in practice and simple structure. However, it is not easy to achieve an optimal PID...

ABSTRACT This paper is on erned with the multi-robot foraging problem, whi h has been des ribed as one of the anoni al problems for ooperative roboti s. In parti ular, the multi-robot transportation task in onstrained spa e environments is onsidered. We des ribe a simple algorithm whi h produ es bu ket brigade-like behavior, where the robots "hand o " resour es to ea h other, using only lo al s...

in the 90s, a remarkable number of manuscripts were found in northern afghanistan, including economic documents, legal documents, and letters, which have become an important resource for academic studies. this paper aims to investigate the bactrian pantheon as reflected in the economic documents of this collection. at first, these economic documents and the pantheon mentioned in them are introd...

Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. BFOA is inspired by the social foraging behavior of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application dom...

The bacterial foraging optimization (BFO) algorithm is a popular stochastic, population-based optimization technique that can be applied to a wide range of problems. Two are the major issues the BFO algorithm is confronted with: first, the foraging mechanism of BFO might in some cases induce the attraction of bacteria gathered near the global optimum by bacteria gathered to local optima, thus s...

Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria, but it is difficult to optimize to get a high precision due to the randomness of the bacterial behavior, which belongs to intelligence algorithm. This paper presents an extended BFO algorithm, namely the Cooperative Bacterial Foraging Optimization (CBFO), which sign...