Abstract The Fruit Fly Optimization Algorithm (FOA) is a recent algorithm inspired by the
foraging behavior of fruit fly populations. However, the original FOA easily falls into the local …

In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …

Understanding the green consumption behaviors of college students is highly demanded to
update the public and educational policies of universities. For this purpose, this research is …

Short‐term load forecasting (STLF) is an essential and challenging task for power‐or energy‐
providing companies. Recent research has demonstrated that a framework called …

Bankruptcy prediction is still important topic receiving notable attention. Information about an
imminent bankruptcy threat is a crucial aspect of the decision-making process of managers …

The fruit fly optimization algorithm (FOA) is a well-regarded algorithm for searching the
global optimal solution by simulating the foraging behavior of fruit flies. However, when …

Predicting the risk of financial distress of enterprises is an inseparable part of financial-
economic analysis, helping investors and creditors reveal the performance stability of any …

Landslide displacement prediction is an important aspect of landslide hazard research. In
this paper we assess the characteristics of landslide deformation in the Three Gorges …

Foamed concrete material is a sustainable material which is widely used in the construction
industry due to their sustainability. Accurate prediction of their compressive strength is vital …

This paper introduces a new binary Grey Wolf Optimization (GWO) algorithm, which is one of
the recent swarm intelligence-based metaheuristic algorithms. Its various extensions have …