Assembly line balancing is the problem of assigning tasks to workstations by optimizing a performance measure while satisfying precedence relations between tasks and cycle time restrictions. Many exact, heuristic and metaheuristic approaches have been proposed for solving simple straight and U-shaped assembly line balancing problems. In this study, a quite new optimization algorithm, Bacterial ...

Nowadays, analyzing human facial image has gained an ever-increasing importance due to its various applications. Image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. Among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness, and high precision...

here are number of successful image quality metrics that rely on the structural information in an image in order to assess its perceptual quality. It is a challenging task to extract the structural information that is perceptually meaningful to the visual system. The current research is motivated by the observation that there is no single metric that provides the best performance scores in all ...

This paper presents the performance of utilizing a bacterial foraging optimization algorithm on a PID control scheme for controlling a five DOF two-wheeled robotic machine with two-directional handling mechanism. The system under investigation provides solutions for industrial robotic applications that require a limited-space working environment. The system nonlinear mathematical model, derived...

The Bacterial Foraging (BF) is a global optimization algorithm that imitates the foraging behavior of Escherichia coli (E. coli) bacteria. Foraging habit of individuals and groups of E. coli bacteria for nutrients is modeled as a distributed optimization process. This paper applies this powerful algorithm to design an optimal controller for a single-machine-infinite-bus (SMIB) system equipped w...

Bacterial Foraging Optimization Algorithm (BFOA) has recently emerged as a very powerful technique for real parameter optimization. In order to overcome the delay in optimization and to further enhance the performance of BFO, this paper proposed a new hybrid algorithm combining the features of BFOA and Particle Swarm Optimization (PSO) for tuning a Fractional order speed controller in a Permane...

Bacterial Foraging Optimization (BFO) is a population-based numerical optimization algorithm. This technique is proposed by K.M. Passino in 2002 to handle complex problems of the real world. Case-based reasoning is a unique platform of concepts and techniques that touch upon some of the basic issues concerning to knowledge representation, reasoning and learning from experience. In this work, we...