Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

A nationally renowned UC Berkeley computer science professor who also became an ardent critic of recent California math ...

Abstract: In IoT-enabled airport ecosystems, the exponential growth of air traffic and the rapid development of smart terminals have intensified gate allocation challenges. Real-time data streams from ...