Proposal of Adaptive Range Differential Evolution

Adaptive Search Range and Multi-Mutation Strategies for Differential Evolution

In this paper, an improved DE is proposed to improve optimization performance by involving four searching strategies: current-to-better mutation, real-random-mutation, sharing mutation, and focused search. When evolution speed is standstill, sharing mutation can increase the search depth; in addition, real-random mutation can disturb individuals and can help individuals diverge to local optimum...

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...

Self-adaptive Scaling Factor in Differential Evolution

In this paper, a newly-proposed algorithm based on 3-Parents Differential Evolution (3PDE) is implemented to be self-adapted for the only control parameter of scaling factor, F. It is called 3Parents DE with Self-adaptive Scaling Factor (SaFDE). The performance of this proposed algorithm is compared against to the original Differential Evolution (DE). In this paper, 50 runs are conducted for ev...

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...