Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem ...

This paper presents a comparison in the performance analysis between a newly developed crossover operator called Rayleigh Crossover (RX) and an existing crossover operator called Laplace Crossover (LX). Coherent to the previously defined Scaled Truncated Pareto Mutation (STPM) operator to form two (2) generational RCGAs called RX-STPM and LX-STPM, both crossovers are utilized. A set of ten (10)...

Digital Differentiator (DD) play a very important role to find out and approximate the first, second, or higher-order derivative of a digital signals. In this paper real-coded genetic algorithm (RCGA) is proposed for the design of finite impulse response (FIR) digital differentiator. The intent of this paper is to apply a real-coded genetic algorithm with arithmetic-average-bound-blend (AABBX) ...

This paper proposes a real-coded predator-prey GA for multiobjective optimization (RCPPGA). The model takes its inspiration from the spatial predator-prey dynamics observed in nature. RCPPGA differs itself from previous similar work by placing a specific emphasis on introducing a dynamic spatial structure to the predator-prey population. RCPPGA allows dynamic changes of the prey population size...

In this paper, we propose, Gaussian Optimization Algorithm (GOA), which generate a new search point by using gaussian network and estimation of distribution. Algorithms where offsprings (new search points) are generated according to estimated probability model of the parents are called Estimation of Distribution Algorithms (DEAs) or Probabilistic Model-Building GAs (PMBGAs). The proposed GOA is...

A major problem in the use of genetic algorithms is premature convergence, a premature stagnation of the search caused by the lack of diversity in the population. One approach for dealing with this problem is the distributed genetic algorithm model. Its basic idea is to keep, in parallel, several subpopulations that are processed by genetic algorithms, with each one being independent of the oth...

neural network is one of the most widely used algorithms in the field of machine learning, on the other hand, neural network training is a complicated and important process. supervised learning needs to be organized to reach the goal as soon as possible. a supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.  hen...

It is known that the α-β-filter is an efficient-simple estimation scheme for the motion control. However, the estimation performance heavily depends on the parameters α and β values. This paper presents a fast real-time genetic algorithm (GA) to adapt αβ filter. In the proposed method, the parameters α and β values are adjusted in real-time by GA to meet some specifications. The simulation resu...