Abstract: With the rapid development of vehicle technology, the functions of automatic driving system become increasingly rich. As the core module of intelligent driving, the algorithm design of ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

ALEXANDRIA, Va. — ACCA has been recognized as a Power of Associations Gold Award winner by the American Society of Association Executives (ASAE) for its successful A2L refrigerant safety training ...

Linear Programs (LPs) are one of the major building blocks of AI and have championed recent strides in differentiable optimizers for learning systems. While efficient solvers exist for even ...

1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...

After inventing calculus, actuarial tables, and the mechanical calculator and coining the phrase “best of all possible worlds,” Gottfried Leibniz still felt his life’s work was incomplete. Since ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...