An Adaptive Masker for the Differential Evolution Algorithm

An Adaptive Masker for the Differential Evolution Algorithm

The automatic clustering problem of a large and complex data set into different homogeneous clusters is a challenging task. The choose of a variable length clusters centers using a good method to generate the maskers is an important phase in the evolution of a global search heuristics algorithms. In this paper, a new technique of real-coded modified differential evolution based automatic fuzzy ...

An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization

Adaptation of control parameters, such as scaling factor (F), crossover rate (CR), and population size (NP), appropriately is one of the major problems of Differential Evolution (DE) literature. Well-designed adaptive or self-adaptive parameter control method can highly improve the performance of DE. Although there are many suggestions for adapting the control parameters, it is still a challeng...

The Self–Adaptive Pareto Differential Evolution Algorithm

The Pareto Differential Evolution (PDE) algorithm was introduced last year and showed competitive results. The behavior of PDE, as in many other evolutionary multiobjective optimization (EMO) methods, varies according to the crossover and mutation rates. In this paper, we present a new version of PDE with self-adaptive crossover and mutation. We call the new version Self–adaptive Pareto Differe...

Developing Adaptive Differential Evolution as a New Evolutionary Algorithm, Application in Optimization of Chemical Processes

Tuning of Extended Kalman Filter using Self-adaptive Differential Evolution Algorithm for Sensorless Permanent Magnet Synchronous Motor Drive

In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...