Better follow-through and outcomes come from understanding why patients don’t act and designing systems that remove those ...

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

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

Thermal management is one of the most difficult challenges engineers face in developing next-generation fighters, particularly with RCS and range.

Most leaders I work with are not struggling because they lack capability. They're struggling because they've defined the ...

Time is the scarcest resource in our lives. Data may be the oil of the digital economy, but the timeliness and contextual delivery of that data is what creates real value. One of the things I learned ...

In 1964, psychologist Mihaly Csikszentmihalyi conducted an experiment to answer that question. Csikszentmihalyi, who died in ...

Abstract: In this paper, the multicommodity network flow (MCNF) problem is formulated as a mixed integer programming model which is known as NP-hard, aiming to optimize the vehicle routing and ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...