This paper presents a variant of particle swarm optimizers (PSOs) that we call the
comprehensive learning particle swarm optimizer (CLPSO), which uses a novel learning strategy …

There is an ever‐growing demand for rechargeable batteries with reversible and efficient
electrochemical energy storage and conversion. Rechargeable batteries cover applications in …

In the past two decades, different kinds of optimization algorithms have been designed and
applied to solve real-parameter function optimization problems. Some of the popular …

Rechargeable Mg batteries have shown the potential for reversible electrochemical energy
storage and conversion owing to their characters of high theoretical specific capacity (2205 …

The prosperity of human society largely relies on safe energy supply, and fossil fuel has been
serving as the most reliable energy source. However, as a non-renewable energy source, …

Driven by the high demand for sensitive and specific tools for optical sensing and imaging,
bioprobes with various working mechanisms and advanced functionalities are flourishing at …

Research on the single objective optimization algorithms is the basis of the research on the
more complex optimization algorithms such as multi-objective optimizations algorithms, …

Higher-order chromatin structure is emerging as an important regulator of gene expression.
Although dynamic chromatin structures have been identified in the genome, the full scope of …

Brain tumor semantic segmentation is a critical medical image processing work, which aids
clinicians in diagnosing patients and determining the extent of lesions. Convolutional neural …

Molecular recognition, which is the process of biological macromolecules interacting with
each other or various small molecules with a high specificity and affinity to form a specific …