The Advanced Photon Source
a U.S. Department of Energy Office of Science User Facility

APS Scientific Computation Seminar Series

Sessions will normally be held on the 3rd Monday of the month at 1:00 p.m. and last approximately one hour.

This seminar series focuses on scientific computation for APS experiments. The series focuses on advanced software and computing infrastructure for analysis, reduction, reconstruction, and simulation. It provides an opportunity to learn about state-of-the-art computational techniques and tools and how they are being applied to science at the APS. It will start with talks from Argonne staff who are working on projects in collaboration or in support of APS science.
Next Seminar:
Title:

A Machine-Learning Based Stochastic Algorithm for Design and Online Optimization
Presenter: 

Xiaobiao Huang, APS, Argonne National Laboratory
Date: November 16, 2020
Time: 1:00 p.m.
Location: https://bluejeans.com/548039681
Abstract:

A stochastic optimization method, the multi-generation Gaussian process optimizer (MG-GPO), was
developed for design optimization of complex systems such as accelerators. The method builds up and
updates posterior Gaussian process models of the physical system to be optimized and uses the models to filter for good solutions in a multi-generation stochastic optimization process. It results in substantial
improvement in convergence speed in comparison to traditional stochastic optimization algorithms, such
as NSGA-II and MOPSO. The method has been tested with real life accelerator design problems.
Application of the method in online optimization of accelerators was also demonstrated.
Previous Seminars:

2020 | 2019 | 2018 | 2017 | 2016 | 2015

 

11.09.2020