Self-adaptive Scaling Factor in Differential Evolution

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...

Performance Enhancement of the Differential Evolution Algorithm Using Local Search and a Self-adaptive Scaling Factor

This paper presents a novel differential evolution (DE) algorithm using a dynamic strategy, local search, and a self-adaptive scaling factor (DELSBP ) to enhance the performance of the traditional DE algorithm. The DELSBP consists of a dynamic strategy, which updates the optimal vector instantaneously, and back-propagation-based local search, which enhances its searching capability from the cor...

A Novel Hybrid Differential Evolution Algorithm : A Comparative Study on Function Optimization

This paper presents a novel differential evolution algorithm (called CCDE) using self-adaptive scaling factors, chemotaxis by BP technique, and cooperative strategy to enhance the performance of traditional DE algorithm. The CCDE consists of modified mutation strategy which is implemented from each individual and includes the momentum of each individual, the self-adaptive scaling factor strateg...

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

Improved Differential Evolution Algorithm based on Dynamic Adaptive Strategies and Control Parameters

To solve the slow convergence speed, low precision in later period and tedious parameter setting of differential evolution when applied to complex optimization functions, an improved differential evolution algorithm (dn-DADE) based on dynamic adaptive strategy is proposed. Firstly, the elite solutions of current population are utilized in the new mutation strategy (DE/current-to-dnbest/1) to gu...