Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...

1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...

Abstract: Expensive multi-objective binary optimization problems frequently emerge in real-world applications, where evaluating a single solution incurs significant computational or physical costs.

Mobility-on-demand platforms, such as ride-hailing services, have become critical urban transportation infrastructures. They address unbalanced demand and supply by continuously executing ...

An end‑to‑end machine learning pipeline for detecting phishing URLs, built with Python. The project covers data ingestion, validation, transformation, model training, artifact/version management, a… ...