This paper introduces the Gooseneck Barnacle Optimisation Algorithm (GBO) as a novel
evolutionary method inspired by the natural mating behaviour of gooseneck barnacles …

Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …

Sentiment analysis, which aims to extract information from textual data indicating people's
ideas or attitudes about a particular problem, has developed into one of the most exciting …

To reduce energy consumption (EC) in the wastewater treatment process (WWTP) for
achieving energy conservation and emission reduction, multi-objective evolutionary …

The precise determination of battery state of charge (SoC) holds paramount significance and
has garnered considerable attention across diverse sectors, including academia. Accurate …

To use different models for forecasting economic data suitably, three main basic models (the
grey system model, time series analysis model, and artificial neural network (ANN) model) …

Optimization problems arise in diverse fields such as engineering, economics, and industry.
Metaheuristic algorithms, including the Simulated Kalman Filter (SKF), have been …

Time series forecasting is crucial across various sectors, aiding stakeholders in making
informed decisions, planning for the short and long term, managing risks, optimizing profits …

Effective stock selection plays a pivotal role in investment success, given the inherent risks
and fluctuations tied to various factors. This paper aims to explore the experimental efficacy …

This paper presents an elitism-crossover barnacle mating optimization (ECBMO). It is an
improvement of barnacle mating optimization (BMO). The original BMO suffers from local …