Hourly workers across a number of industries have long been grappling with unstable schedules and pay as their employers use ...
A new study warns that artificial intelligence may be entering an 'evolvable' phase, where systems replicate, vary, and undergo selection with less human oversight. Researchers outline two scenarios: ...
Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
Engineering researchers at North Carolina State University have developed a mathematical framework that can be used to help ...
Barchart on MSNOpinion
Apple’s strategic pivot: trading optimization for engineering mastery
The latest news out of Cupertino became not just the headline of the passing month but ostensibly one of the most important ...
Abstract: Evolutionary multi-objective multi-task optimization (MO-MTO) can optimize multiple tasks simultaneously by knowledge transfer (KT) between tasks. However, the existing MO-MTO algorithms ...
ABSTRACT: We present the complete methodology to propose an efficient electrothermal model of the Silicon Carbide (SiC) Metal Oxide Semiconductor Field Effect Transistor (MOSFET), largely used in high ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results