Stock market prediction has long attracted the attention of academia and industry due to its potential for substantial financial returns. Despite the availability of various forecasting methods, such ...

In this study, a multi-objective particle swarm optimization (MOIPSO) algorithm is proposed to address complex optimization problems, including real-world engineering challenges. The algorithm retains ...

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...

A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...