Objective function features providing barriers to rapid global optimization | Macquarie University ResearchOnline

Home

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/146570

13 Visitors

14 Hits

0 Downloads

Title: Objective function features providing barriers to rapid global optimization
Related: Journal of global optimization, Vol. 31, Issue 4, (2005), p.549-565
DOI: 10.1007/s10898-004-9965-1
Publisher: Springer
Date: 2005
FoR/RFCD Code(s): 010200 Applied Mathematics 010300 Numerical and Computational Mathematics
Author/Creator: Locatelli, M
Author/Creator: Wood, G. R
Description: The purposes of this discussion paper are twofold. First, features of an objective function landscape which provide barriers to rapid finding of the global optimum are described. Second, stochastic algorithms are discussed and their performance examined, both theoretically and computationally, as the features change. The paper lays a foundation for the later findings paper.
Description: 17 page(s)
Subject Keyword: 010200 Applied Mathematics
Subject Keyword: 010300 Numerical and Computational Mathematics
Subject Keyword: Local minima
Subject Keyword: Local optimization
Subject Keyword: Search region
Subject Keyword: Simulated annealing
Subject Keyword: Stochastic global optimization
Resource Type: journal article
Organisation: Macquarie University. Dept. of Statistics

Macquarie University ResearchOnline