Differential Evolution (DE) has been widely appraised as a simple yet robust population-
based, non-convex optimization algorithm primarily designed for continuous optimization …

In this paper, we propose a differential evolution (DE) algorithm variant with a combination of
multiple mutation strategies based on roulette wheel selection, which we call MMRDE. We …

Differential evolution (DE) is a population-based metaheuristic algorithm that has been
proved powerful in solving a wide range of real-parameter optimization tasks. However, the …

This paper is corroborated the hybrid Alopex based DECRPSO algorithm (ADECRPSO)
over DE, ADE, PSO, and CRPSO algorithms to pursuit the gain parameters of the PID and …

Differential Evolution (DE) is a population based algorithm that belongs to the Evolutionary
algorithm family. During recent years, DE has become a popular algorithm in optimization …

Generalization performance of support vector machines (SVM) with Gaussian kernel is
influenced by its model parameters, both the error penalty parameter and the Gaussian …

JADE is an state-of-the-art adaptive differential evolution algorithm which implements
“DE/current-to-pbest” as its mutation strategy, adapts its mutation factor and crossover rate …

Differential evolution has many mutation strategies which are problem dependent. Some
Adaptive Differential Evolution techniques have been proposed tackling this problem. But …

针对差分进化算法(DE) 存在的早熟收敛和搜索停滞的问题, 提出了多策略协方差矩阵学习的
差分进化算法. 通过协方差矩阵建立特征坐标系, 通过在特征坐标系中执行变异和交叉操作 …

Stagnation and premature convergence are considered the most known problems of
differential evolution (DE). To address this issue, we propose a multipopulation differential …