Optimization has not been an important part of system dynamics thus far, and for several good reasons: Simulation models have been sufficient to point out greater potential for improvement than what policy makers have been willing o embrace. Hence presumably minor improvements of policies might have seemed of little value. Even simple simulation results have been difficult to communicate, indicating that the results of complicated optimization efforts would be even harder to convey. Optimization methods have not been able to capture the richness of real decision problems characterized by simultaneous appearance of dynamics, nonlinearities and uncertainties. Hence there has been uncertainty about the transferability of solutions from simple to complex environments.

This is the whole item.

Date created

• 1996

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
  Contact Us for questions or additional rights.

ITEM CONTEXT

Part of

227da936724c4223c5a64764d3922694

Scope and Contents

Part of

ca4810593b2703dcaa087957ab13af91

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives