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 ...
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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 ...
Rapid diagnosis of bacterial pneumonia is crucial for clinical diagnosis and treatment, but traditional methods are time-consuming. The wide application of machine learning techniques in medical ...
Abstract: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...
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 ...
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 ...
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