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 …

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 …

Incorporating local search heuristics is often very useful in designing an effective
evolutionary algorithm. In this article a simplified quadratic approximation (SQA) is used as a …

In this paper, the performance of the Differential Evolution algorithm is evaluated when
solving real-world problems. A Set of 13 engineering optimisation problems was selected …

Differential Evolution (DE) is a powerful population-based evolutionary algorithm for global
optimization, and it is widely used in many scientific and engineering applications. There are …

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 …

Differential evolution (DE) is a powerful global optimization algorithm which has been
studied intensively by many researchers in the recent years. A number of variants have been …

Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …

Differential evolution (DE) algorithm has been shown to be a simple and efficient
evolutionary algorithm for global optimization over continuous spaces, and has been widely …

This article presents a modified version of the differential evolution algorithm to solve
engineering design problems. The aim is to allow each parent vector in the population to …