Received: 24 Janurary 2022 Accepted: 2 August 2022 Differential Evolution (DE) is a widely
used global searching algorithm that solves realworld optimization problems. It is …

Many improved differential Evolution (DE) algorithms have emerged as a very competitive
class of evolutionary computation more than a decade ago. However, few improved DE …

Most heuristic search method's performances are dependent on parameter choices. These
parameter settings govern how new candidate solutions are generated and then applied by …

A differential evolution (DE) algorithm with self‐adaptive population resizing mechanism,
SapsDE, is proposed to enhance the performance of DE by dynamically choosing one of two …

Differential Evolution (DE) is generally considered as a reliable, accurate, robust and fast
optimization technique. DE has been successfully applied to solve a wide range of …

Differential evolution (DE) presents a class of evolutionary and meta-heuristic techniques
that have been applied successfully to solve many real-world problems. However, the …

Differential evolution (DE) has attracted much attention recently as an effective approach for
solving numerical optimization problems. However, the performance of DE is sensitive to the …

Differential Evolution (DE) is a stochastic, population based search technique, which can be
classified as an Evolutionary Algorithm (EA) using the concepts of selection crossover and …

Differential evolution (DE) is simple and effective in solving numerous real‐world global
optimization problems. However, its effectiveness critically depends on the appropriate …

Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …