In this paper, we propose an intelligent scheme and design a spatial information sampling
algorithm (SIS) to achieve a balance between exploitation and exploration more efficiently …

Differential evolution (DE) is a popular optimization algorithm with easy implementation and
fast convergence rate. For evolutionary algorithms such as DE, the initialization process of …

Dealing with high-dimensional data poses a significant challenge in machine learning. To
address this issue, researchers have proposed feature selection as a viable solution. Due to …

Differential evolution (DE) is a simple and efficient metaheuristic algorithm for solving global
optimization problems. It is used widely in various fields due to its concise structure and …

Evolutionary algorithms have shown great successes in various real-world applications
ranging in molecule to astronomy. As a mainstream evolutionary algorithm, differential …

Using sparrow search hunting mechanism to improve water wave algorithm (WWOSSA),
which combines the water wave optimization (WWO) algorithm and the sparrow search …

In this study, we propose a novel approach to balance exploitation and exploration. The
proposed approach is the Evolutionary Swarm Intelligence (ESI) optimizer, which combines …

Big Data is impacting and changing the way we live, and its core lies in the use of machine
learning to extract valuable information from huge amounts of data. Optimization problems …

Symmetry in a differential evolution (DE) transforms a solution without impacting the family of
solutions. For symmetrical problems in differential equations, DE is a strong evolutionary …

Chaotic local search based differential evolutionary optimization algorithm (CJADE) is an
improved algorithm based on JADE. It incorporates the ideas of chaotic map** and local …