This paper presents four optimization algorithms: Bacterial Foraging Optimization (BFO), Particle Swarm Optimization (PSO), Chaos Particle Swarm Optimization (CPSO) and Bacterial Swarm Optimization (BSO), and a neural network compensator: Resource Allocation Network (RAN) to aircraft automatic landing control design. When wind disturbance is beyond the originally scheduled flight condition, the...

In order to maximize the overall profit of supply chain fresh food e-commerce platform, coordination and optimization model platform based on improved bacterial foraging algorithm is constructed. The basic constructed through chemotaxis, reproduction, elimination & dispersal, by using four parts: individual parameter initialization, chemotaxis behavior, reproduction behavior migration so as...

This paper proposes an improved adaptive approach involving Bacterial Foraging Algorithm (BFA) to optimize both the amplitude and phase of the weights of a linear array of antennas for maximum array factor at any desired direction and nulls in specific directions. The Bacteria Foraging Algorithm is made adaptive using principle of adaptive delta modulation. To show the improvement in making the...

Feature selection (FS) is a global optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. This paper presents a novel feature selection algorithm based on Bacteria Foraging Optimization (BFO). The algorithm is applied to coefficients extracted by discrete cosine transforms (DCT...

This paper provides a novel meta-heuristic optimization algorithm for solving continuous problems efficiently in the field of numerical and engineering optimization: Piranha Foraging Optimization Algorithm (PFOA). The is inspired by flexible mobile foraging behaviour piranha swarm divides their behavior into three patterns: localized group attack, bloodthirsty cluster attack scavenging foraging...

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...

This paper presents the speed control of a DC series motor supplied by Photovoltaic (PV) system. The proposed design problem of speed controller is formulated as an optimization problem. Bacteria Foraging Optimization Algorithm (BFOA) is employed to search for optimal Proportional Integral (PI) parameters of speed controller by minimizing the time domain objective function. The performance of t...