Title
Subthreshold-seeking local search
Abstract
Algorithms for parameter optimization display subthreshold-seeking behavior when the majority of the points that the algorithm samples have an evaluation less than some target threshold. We first analyze a simple "subthreshold-seeker" algorithm. Further theoretical analysis details conditions that allow subthreshold-seeking behavior for local search algorithms using Binary and Gray code representations. The analysis also shows that subthreshold-seeking behavior can be increased by using higher bit precision. However, higher precision also can reduce exploration. A simple modification to a bit-climber is proposed that improves its subthreshold-seeking behavior. Experiments show that this modification results in both improved search efficiency and effectiveness on common benchmark problems.
Year
DOI
Venue
2006
10.1016/j.tcs.2006.04.008
Theor. Comput. Sci.
Keywords
DocType
Volume
local search,gray codes,no free lunch,subthreshold search
Journal
361
Issue
ISSN
Citations 
1
0304-3975
3
PageRank 
References 
Authors
0.38
3
2
Name
Order
Citations
PageRank
L. Darrell Whitley16631968.30
Jonathan E. Rowe245856.35