The objective of this paper is to investigate the enhancement of damping the low frequency oscillations via tuning of static synchronous compensator (STATCOM) damping controller. The problem of STATCOM based damping controller is formulated as an optimization problem according with the time domain-based objective function which is solved by a quantum-behaved particle swarm optimization (QPSO) t...

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...

By taking advantage of niche sharing scheme,we propose a novel co-evolutionary particle swarm optimization algorithm (NCPSO) to solve permutation flow shop scheduling problem. As the core of this algorithm, niche sharing scheme maximizes the diversity of population and hence improves the quality of individuals. To evaluate the performance of the proposed algorithm, we have use eight Taillard in...

The paper puts forward the design of an intelligent SHA-1 based crypto system. For a given 512-bit message stream the intelligence of the system lies in its power of predicting the probable-colluders. Along with the conventional SHA-1 architecture, our scheme employs a predictor control block which takes the message stream from the user, and provides the log-list of the equal length bit-streams...

Abstract Due to the advent of 5G and integration sensors, sensor nodes need collect data from multiple sources simultaneously.Traditional anomaly detection methods for single attribute time series detect multivariate data, low accuracy, significant node energy consumption. To avoid these problems, this paper provides an improved FCM clustering method based on sliding window. Based CPSO optimal ...