With the advent of massively parallel computing coprocessors, numerical optimization for deep-learning disciplines is now possible. Complex real-time pattern recognition, for example, that can be used ...

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization ...

A technique is developed which utilizes numerical models and in situ measurements to characterize acoustic fields and identify noise sources. The numerical model is based on boundary element numerical ...

Scientists have created a novel method that represents a major improvement in existing post-disaster optimization methodologies. Their technique, Algorithm with Multiple-Input Genetic Operators (AMIGO ...