Abstract / Overview / Contents

Optimizing a mechanical structure (e.g. a truss, a frame, etc.) or a dynamic system (e.g. an industrial or service robot), one has to cope with several random parameters (model parameters, disturbances, noise factors, etc.) not known in advance, at the planning stage, respectively. However, in most cases, prior and statistical information about the random parameter variations is available.

Hence, the present homepage yields information about analytical tools and numerical procedures for finding more robust optimal decisions, i.e., optimal designs or optimal controls being insensitive with respect to random parameter variations.
This can be achieved by applying stochastic optimization methods incorporating the available prior and statistical information about the random parameter variations into the optimization process.

Basic Stochastic Optimization Concepts & Methods

Author / Addresses

Office:

Tel. Office:	+49 89 6004 2541
Tel. Secretrary:	+49 89 6004 2560
Fax Office:	+49 89 6004 4641 or 4092/3560

e-mail business:	kurt.marti@unibw-muenchen.de
	marti@stoch.net

WWW-Address Office

Further WWW-Addresses

Home:

Tel. Home:	+41 56 441 64 36 (also Fax)
Mobile:	+41 79 358 80 52
Mobile Fax:	+41 79 638 90 53

e-mail: kmarti@bluewin.ch

Scientific Committees:

• GAMM Special Interest Group on "Stochastic Optimization in Engineering" ("Stochastische Optimierung in der Technik"). Follower of the former GAMM-Special Interest Group "Applied Stochastics and Optimization" (till 2010) 
• IFIP-TC7 Working Group WG7.7 on "Stochastic Optimization"

Meetings: Seminars, Workshops

• GAMM 2012, TU Darmstadt, 26-30 March 2012; URL: www.gamm2012.tu-darmstadt.de
  
• CST 2012, Dubrovnik, Croatia, 4-7 September 2012; URL: www.civil-comp.com/conf/cst2012.htm
  
• IIASA/GAMM-Workshop on "Coping with Uncertainty: Managing Safety of Heterogeneous Systems", IIASA Laxenburg, Austria, 14 - 16 December, 2009

Publications