English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Adjacency List Matchings --- An Ideal Genotype for Cycle Covers

Doerr, B., & Johannsen, D. (2007). Adjacency List Matchings --- An Ideal Genotype for Cycle Covers. In D. Thierens (Ed.), GECCO 2007: Genetic and Evolutionary Computation Conference. - Vol. 1 (pp. 1203-1210). New York, NY: ACM. doi:10.1145/1276958.1277192.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Doerr, Benjamin1, Author           
Johannsen, Daniel1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

Content

show
hide
Free keywords: -
 Abstract: We propose and analyze a novel genotype representation for walk and cycle covers in graphs. Together with a natural mutation operator, it yields superior algorithms based on randomized local search and (1+1) evolutionary algorithms. In particular, we derive an evolutionary algorithm that computes an Euler tour in a graph with $m$ edges in expected run-time $O(m \log m)$. This is comparable to the best direct algorithm for this problem running in linear time. Also, a simple coupon collector argument indicates that our run-time is asymptotically optimal for any randomized search heuristic.

Details

show
hide
Language(s): eng - English
 Dates: 2008-03-0520072007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356696
Other: Local-ID: C12573CC004A8E26-2A58943DC07CF5F2C125729F00364AEC-DoerrJohannsen07a
DOI: 10.1145/1276958.1277192
 Degree: -

Event

show
hide
Title: 9th Annual Conference on Genetic and Evolutionary Computation
Place of Event: London, UK
Start-/End Date: 2007-07-07 - 2007-07-11

Legal Case

show

Project information

show

Source 1

show
hide
Title: GECCO 2007 : Genetic and Evolutionary Computation Conference. - Vol. 1
  Abbreviation : GECCO 2007
Source Genre: Proceedings
 Creator(s):
Thierens, Dirk1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1203 - 1210 Identifier: ISBN: 978-1-59593-697-4