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 ...
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 ...