GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

Against the background of China’s ambitious dual carbon goals (carbon peaking by 2030 and carbon neutrality by 2060), the transportation sector, as a major source of carbon emissions, shoulders a ...

War in the Middle East has left Italy’s prime minister in a domestic bind, presenting her with one of the biggest challenges of a previously stable tenure. By Motoko Rich Reporting from Rome During a ...

Support our Mission. We independently test each product we recommend. When you buy through our links, we may earn a commission. Tour pros say the darndest things. Speaking on the Straight Facts Homie ...

Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) involve complex changes in objective functions and constraints over time. These changes challenge most existing algorithms ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Abstract: The Difference of Convex (DC) optimization problem holds significant importance in both optimization theory and practical applications. In recent years, numerous algorithms have been ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...