Paper Info
Title
Comparison of cauchy EDA and rosenbrock's algorithms on the BBOB noiseless testbed
Abstract
Estimation-of-distribution algorithm equipped with Cauchy distribution (Cauchy EDA) is compared with Rosenbrock's local search algorithm. Both algorithms were already presented at the 2009 black-box optimization benchmarking workshop where Cauchy EDA usually ranked better than Rosenbrock's algorithm. This paper compares them in more detail and adds to the understanding of their key differences.
Year
DOI
Venue
2010
10.1145/1830761.1830798
GECCO (Companion)
Keywords
Field
DocType
cauchy eda,bbob noiseless testbed,local search algorithm,key difference,cauchy distribution,estimation-of-distribution algorithm,black-box optimization,distributed algorithm,estimation of distribution algorithm,benchmarking
Rosenbrock function,Mathematical optimization,Estimation of distribution algorithm,Ranking,Computer science,Testbed,Algorithm,Theoretical computer science,Cauchy distribution,Local search (optimization),Benchmarking
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
1
Name
Order
Citations
PageRank
Petr Pošík121015.44