Self-adaptive Ensemble Based Differential Evolution

Color Image Quantization Algorithm Based on Self-Adaptive Differential Evolution

Differential evolution algorithm (DE) is one of the novel stochastic optimization methods. It has a better performance in the problem of the color image quantization, but it is difficult to set the parameters of DE for users. This paper proposes a color image quantization algorithm based on self-adaptive DE. In the proposed algorithm, a self-adaptive mechanic is used to automatically adjust the...

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...

Control Parameters in Self-adaptive Differential Evolution

Abstract In this paper we present experimental results to show deep view on how selfadaptive mechanism works in differential evolution algorithm. The results of the self-adaptive differential evolution algorithm were evaluated on the set of 24 benchmark functions provided for the CEC2006 special session on constrained real parameter optimization. In this paper we especially focus on how the con...

Harmony Search Based Parameter Ensemble Adaptation for Differential Evolution