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, ...

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