1814
eng
reportzib
0
2013-04-23
2013-04-23
--
System Dynamic Optimization in the Sustainability Assessment of a World-Model
The System Dynamics (SD) methodology is a framework for modeling and simulating
the dynamic behavior of socioeconomic systems. Characteristic for the
description of such systems is the occurrence of feedback loops together with
stocks and flows. The mathematical equations that describe the system are
usually nonlinear. Therefore seemingly simple systems can show a nonintuitive,
nonpredictable behavior over time. Controlling a dynamical system means to
define a desired final state in which the system should be, and to specify
potential interventions from outside that should keep the system on the right
track. The central question is how to compute such globally optimal control for
a given SD model. We propose a branch-and-bound approach that is based on a
bound propagation method, primal heuristics, and spatial branching. We apply our
new SD-control method to a small System Dynamics model, that describes the
evolution of a social-economic system over time. We examine the problem of
steering this system on a sustainable consumption path.
1438-0064
urn:nbn:de:0297-zib-18148
http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/4026
Appeared in: Proceedings of the 11th Global Conference on Sustainable Manufacturing (GCSM2013), G. Seliger (Hrsg.), Universitätsverlag der TU Berlin, Seite 582 -- 587
Armin Fügenschuh
Armin Fügenschuh
Ingmar Vierhaus
ZIB-Report
13-23
eng
uncontrolled
System Dynamics; Mixed-Integer Nonlinear Optimization
OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING
Mathematical Optimization
Fügenschuh, Armin
CRC1026
https://opus4.kobv.de/opus4-zib/files/1814/ZR-13-23.pdf