On an Asymptotic Property of a Simplicial Statistical Model of Global Optimization

Author(s):  
Antanas Žilinskas ◽  
Gražina Gimbutienė
2011 ◽  
Vol 16 (3) ◽  
pp. 451-460 ◽  
Author(s):  
Antanas Žilinskas ◽  
Julius Žilinskas

A simplicial statistical model of multimodal functions is used to construct a global optimization algorithm. The search for the global minimum in the multidimensional space is reduced to the search over the edges of simplices covering the feasible region combined with the refinement of the cover. The refinement is performed by subdivision of selected simplices taking into account the point where the objective function value has been computed at the current iteration. For the search over the edges the one-dimensional P-algorithm based on the statistical smooth function model is adapted. Differently from the recently proposed algorithm here the statistical model is used for modelling the behaviour of the objective function not over the whole simplex but only over its edges. Testing results of the proposed algorithm are included.


Optimization ◽  
2000 ◽  
Vol 48 (1) ◽  
pp. 117-135 ◽  
Author(s):  
Antanas Žilinskas

1978 ◽  
Vol 23 (11) ◽  
pp. 937-938
Author(s):  
JAMES R. KLUEGEL

1985 ◽  
Vol 55 (11-12) ◽  
pp. 404
Author(s):  
S.M. Bradley ◽  
J.G. Doherty ◽  
R.S. Ferguson ◽  
D. Sprevak

Author(s):  
Reiner Horst ◽  
Hoang Tuy
Keyword(s):  

Informatica ◽  
2016 ◽  
Vol 27 (2) ◽  
pp. 323-334 ◽  
Author(s):  
James M. Calvin

Sign in / Sign up

Export Citation Format

Share Document