Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

In response to the errors caused by the uniform background value coefficients in the
traditional grey model and the lack of analysis ability of panel data, this study proposes a two …

With rapid population growth, there is an urgent need for intelligent traffic control techniques
in urban transportation networks to improve network performance. In an urban transportation …

This paper introduces HLOA, a novel metaheuristic optimization algorithm that
mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to …

Scatter search (SS) is a population-based metaheuristic algorithm, which has been proved
high efficiency and effective optimizer for complex continuous real value problems. A two …

Nature, with its numerous surprising rules, serves as a rich source of creativity for the
development of artificial intelligence, inspiring researchers to create several nature-inspired …

In recent years, many researchers have made a continuous effort to develop new and
efficient meta-heuristic algorithms to address complex problems. Hence, in this study, a …

While most Western museums contain art objects, relics and memorabilia from a variety of
cultures, there is still a considerable bias in the way artifacts are defined as culturally …

Differential evolution (DE) is a cutting-edge meta-heuristic algorithm known for its simplicity
and low computational overhead. But the traditional DE cannot effectively balance between …

As AI systems are integrated into social networks, there are AI safety concerns that AI-
generated content may dominate the web, eg in popularity or impact on beliefs. To …