Mathematical framework solves asteroid route planning exactly for first time

A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and ...
IEEE

An Evolutional Topology Optimization Method Based on Kernel Level Set Function

Abstract: Topology optimizations involving evolutionary algorithms are promising approaches to solve practical engineering design problems, since their use of derivation-free algorithms makes them ...
Canadian Mining Journal

The case for operations: Turning complexity into value

What is the most efficient way to extract maximum value from a finite mineral resource while balancing cost, safety, and ...
IEEE

Process Model-Assisted Optimization Control Method Based on Model Predictive Control and Deep Reinforcement Learning for Coordinated Control System in Coal-Fired Power Unit

Abstract: As the large-scale integration of renewable energy into the power grid, coal-fired power units have to undertake the task of load-frequency regulation, the optimization control of the ...
GitHub

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...