DocumentCode
617850
Title
Royal road functions and the (1 + λ) evolutionary algorithm: Almost no speed-up from larger offspring populations
Author
Doerr, Benjamin ; Kunnemann, Marvin
Author_Institution
Max-Planck-Inst. fur Inf., Saarbrucken, Germany
fYear
2013
fDate
20-23 June 2013
Firstpage
424
Lastpage
431
Abstract
We analyze the runtime of the (1 + λ) evolutionary algorithm (EA) on the classic royal road test function class. For a royal road function defined on bit-strings of length n having block sized ≥ log n + (c + 1 + ε) log d, we prove that the (1 + λ) EA with λ = Θ(nc) finds the optimum in an expected number of O(2d/dc · n/d log n/d) generations. Together with our lower bound of Ω(2d/dc), this shows that for royal road functions even very large offspring populations do not reduce the runtime significantly.
Keywords
computational complexity; evolutionary computation; Ω(2d/dc) lower bound; (1 + λ) evolutionary algorithm; O(2d/dc · n/d log n/d) generations; bit strings; block sized; classic royal road test function class; offspring population; Evolutionary computation; Markov processes; Optimization; Roads; Runtime; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location
Cancun
Print_ISBN
978-1-4799-0453-2
Electronic_ISBN
978-1-4799-0452-5
Type
conf
DOI
10.1109/CEC.2013.6557600
Filename
6557600
Link To Document