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 ...

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

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: ...

MATLAB implementation of the ILP-based minimal camera network optimization framework proposed in "Autonomous BIM-Aware UAV Path Planning for Construction Inspection". Includes visibility simulation, ...

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… ...