In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

A hyper-heuristic algorithm is a general solution framework that adaptively selects the
optimizer to address complex problems. A classical hyper-heuristic framework consists of …

As the penetration rate of solar energy in the grid continues to enhance, solar power
photovoltaic generation forecasts have become an indispensable aspect of mechanism …

The flow of information through active users in online social networks (OSNs) plays a major
role in forming natural social groups, popularly known as communities. Although structural …

Aiming at producing a high-quality flight path for the unmanned autonomous helicopter with
multi-constraints, a path planning method is proposed based on the multi-strategy …

There is a growing interest in the study development of artificial intelligence and machine
learning, especially regarding the support vector machine pattern classification method. This …

This paper designed a multipopulation cooperative coevolutionary framework with a two-
stage orthogonal learning (OL) mechanism for the whale optimization algorithm (MCCWOA) …

Multi-objective key entity identification problems have attracted the attention of researchers
due to their potential real-world applications, which single-objective approaches simply …

Detecting influential nodes in multiplex networks is a complex task due to the presence of
multiple layers. In this study, we propose a method for identifying important layers with …

Abstract Knowledge of influential actors on real networks is essential for designing policies
for boosting the spread of positive things (eg, news and innovation) and preventing the …