Evolutionary algorithms (EAs) have long provided a flexible framework for solving challenging optimisation problems by mimicking natural evolutionary processes. When combined with multitask ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment. Formerly known as gPROMS ...

The research team from Wuhan University of Science and Technology published a review in Renewable and Sustainable Energy. By retrieving relevant literature from 2005 to 2024, they analyzed the ...