Paper Info
Title
Stochastic Local Search Techniques with Unimodal Continuous Distributions: A Survey
Abstract
In continuous black-box optimization, various stochastic local search techniques are often employed, with various remedies for fighting the premature convergence. This paper surveys recent developments in the field (the most important from the author's perspective), analyzes the differences and similarities and proposes a taxonomy of these methods. Based on this taxonomy, a variety of novel, previously unexplored, and potentially promising techniques may be envisioned.
Year
DOI
Venue
2009
10.1007/978-3-642-01129-0_78
EvoWorkshops
Keywords
Field
DocType
promising technique,premature convergence,stochastic local search techniques,paper surveys recent development,various remedy,unimodal continuous distributions,continuous black-box optimization,various stochastic local search
Mathematical optimization,Estimation of distribution algorithm,Premature convergence,Continuous distributions,Evolution strategy,CMA-ES,Local search (optimization),Mathematics
Conference
Volume
ISSN
Citations 
5484
0302-9743
2
PageRank 
References 
Authors
0.37
21
1
Name
Order
Citations
PageRank
Petr Pošík121015.44