Restart Strategies
Oleg V. Shylo () and
Oleg A. Prokopyev ()
Additional contact information
Oleg V. Shylo: University of Tennessee
Oleg A. Prokopyev: University of Pittsburgh
Chapter 8 in Handbook of Heuristics, 2018, pp 205-220 from Springer
Abstract:
Abstract This chapter is focused on restart strategies in optimization, which often provide a substantial algorithmic acceleration for randomized optimization procedures. Theoretical models that describe optimal restart strategies are presented alongside with their relations to parallel computing implementations.
Keywords: Algorithm; Algorithm portoflio; Parallel optimization; Restart; Superlinear speedup (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-07124-4_15
Ordering information: This item can be ordered from
http://www.springer.com/9783319071244
DOI: 10.1007/978-3-319-07124-4_15
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().