In order to effectively schedule railway train delay, an adaptive cooperative co-evolutionary
differential evolution with dynamic hybrid mechanism of the quantum evolutionary algorithm …

Conventional differential evolution (DE) algorithms have been widely used for optimisation
problems but suffer from low performance and premature convergence. Hence, researchers …

Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological
optimization mechanisms and has achieved great results in various complex stochastic …

Differential Evolution (DE) is arguably one of the most powerful stochastic optimization
algorithms for different optimization applications, however, even the state-of-the-art DE …

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 …

As an excellent optimization algorithm widely used to solve various practical problems,
differential evolution (DE) algorithm has few parameters, yet its performance is significantly …

Complex systems provide an opportunity to analyze the essence of phenomena by studying
their intricate connections. The networks formed by these connections, known as complex …

Recent years have witnessed a surge in the development of multilevel variants of differential
evolution (DE), significantly enhancing the performance of DE algorithms. However …

Parameter estimation of photovoltaic (PV) models, mathematically, is a typical complicated
nonlinear multimodal optimization problem with box constraints. Although various …

In recent years, evolutionary algorithms have achieved outstanding results in addressing
increasingly complex optimization problems, with differential evolution (DE) gaining …