Difference between revisions of "Adaptive simulated annealing (analysis)"

From BioUML platform
Jump to: navigation, search
(Adding provider-specific categories)
(Analysis icon added)
Line 1: Line 1:
 
;Analysis title
 
;Analysis title
:Adaptive simulated annealing
+
:[[File:Optimization-Adaptive-simulated-annealing-icon.png]]Adaptive simulated annealing
 
;Provider
 
;Provider
 
:[[Institute of Systems Biology]]
 
:[[Institute of Systems Biology]]

Revision as of 16:58, 23 April 2013

Analysis title
Optimization-Adaptive-simulated-annealing-icon.pngAdaptive simulated annealing
Provider
Institute of Systems Biology

Adaptive simulated annealing (ASA)

ASA algorithm1 is developed to statistically find the best global fit of a nonlinear non-convex cost-function over a D-dimensional space. It is argued that this algorithm permits an annealing schedule for "temperature" T decreasing exponentially in annealing-time k, T = T0exp(-ck(1/D)). The introduction of re-annealing also permits adaptation to changing sensitivities in the multi-dimensional parameter-space. This annealing schedule is faster than fast Cauchy annealing, where T = T0/k, and much faster than Boltzmann annealing, where T = T0/ln k.

References

  1. L Ingber, "Adaptive simulated annealing (ASA): Lessons learned." Control and Cybernetics, Vol. 25, No. 1, pp. 33-54, 1996.
Personal tools
Namespaces

Variants
Actions
BioUML platform
Community
Modelling
Analysis & Workflows
Collaborative research
Development
Virtual biology
Wiki
Toolbox