ICAP2012 - List of Authors (Ineichen, Y.)

Paper

Title

Page

A Massively Parallel General Purpose Multi-objective Optimization Framework, Applied to Beam Dynamic Studies

62

Y. Ineichen, A. Adelmann
PSI, Villigen, Switzerland
P. Arbenz
ETH, Zurich, Switzerland
C. Bekas, A. Curioni
IBM Research - Zurich, Rueschlikon, Switzerland

Particle accelerators are invaluable tools for research in basic and applied sciences. The successful design, commissioning, and operation of accelerator facilities is non trivial. We implemented a framework for general simulation-based multi-optimization methods automating the investigation of optimal sets of machine parameters. In order to solve the emerging, huge problems we propose a massively-parallel master/slave approach. We employ the framework to identify optimal parameters of existing and new accelerators at PSI.

Slides TUAAI2 [0.694 MB]

Paper	Title	Page
TUAAI2	A Massively Parallel General Purpose Multi-objective Optimization Framework, Applied to Beam Dynamic Studies	62
	Y. Ineichen, A. Adelmann PSI, Villigen, Switzerland P. Arbenz ETH, Zurich, Switzerland C. Bekas, A. Curioni IBM Research - Zurich, Rueschlikon, Switzerland
	Particle accelerators are invaluable tools for research in basic and applied sciences. The successful design, commissioning, and operation of accelerator facilities is non trivial. We implemented a framework for general simulation-based multi-optimization methods automating the investigation of optimal sets of machine parameters. In order to solve the emerging, huge problems we propose a massively-parallel master/slave approach. We employ the framework to identify optimal parameters of existing and new accelerators at PSI.
	Slides TUAAI2 [0.694 MB]