Learning offspring optimizing mate selection

Ekaterina A. Holdener; Daniel R. Tauritz

doi:10.1145/1389095.1389302

Learning offspring optimizing mate selection

Ekaterina A. Holdener
, Daniel R. Tauritz

Department of Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This poster paper presents a methodology for removing user-defined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pairs of mates.

Original language	English
Title of host publication	GECCO'08
Subtitle of host publication	Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008
Publisher	Association for Computing Machinery (ACM)
Pages	1109-1110
Number of pages	2
ISBN (Print)	9781605581309
DOIs	https://doi.org/10.1145/1389095.1389302
State	Published - 2008
Event	10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 - Atlanta, GA, United States Duration: Jul 12 2008 → Jul 16 2008

Publication series

Name	GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

Conference

Conference	10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008
Country/Territory	United States
City	Atlanta, GA
Period	07/12/08 → 07/16/08

Keywords

Mate selection
Offspring optimization
Parent selection

Access to Document

10.1145/1389095.1389302

Cite this

Holdener, E. A., & Tauritz, D. R. (2008). Learning offspring optimizing mate selection. In GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008 (pp. 1109-1110). (GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008). Association for Computing Machinery (ACM). https://doi.org/10.1145/1389095.1389302

@inproceedings{1a8ded23ec304421a0cf8ed0e2839043,

title = "Learning offspring optimizing mate selection",

abstract = "This poster paper presents a methodology for removing user-defined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pairs of mates.",

keywords = "Mate selection, Offspring optimization, Parent selection",

author = "Holdener, \{Ekaterina A.\} and Tauritz, \{Daniel R.\}",

year = "2008",

doi = "10.1145/1389095.1389302",

language = "English",

isbn = "9781605581309",

series = "GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008",

publisher = "Association for Computing Machinery (ACM)",

pages = "1109--1110",

booktitle = "GECCO'08",

note = "10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 ; Conference date: 12-07-2008 Through 16-07-2008",

}

Holdener, EA & Tauritz, DR 2008, Learning offspring optimizing mate selection. in GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008, Association for Computing Machinery (ACM), pp. 1109-1110, 10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008, Atlanta, GA, United States, 07/12/08. https://doi.org/10.1145/1389095.1389302

Learning offspring optimizing mate selection. / Holdener, Ekaterina A.; Tauritz, Daniel R.
GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. Association for Computing Machinery (ACM), 2008. p. 1109-1110 (GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Learning offspring optimizing mate selection

AU - Holdener, Ekaterina A.

AU - Tauritz, Daniel R.

PY - 2008

Y1 - 2008

N2 - This poster paper presents a methodology for removing user-defined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pairs of mates.

AB - This poster paper presents a methodology for removing user-defined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pairs of mates.

KW - Mate selection

KW - Offspring optimization

KW - Parent selection

UR - https://www.scopus.com/pages/publications/57349160408

U2 - 10.1145/1389095.1389302

DO - 10.1145/1389095.1389302

M3 - Conference contribution

AN - SCOPUS:57349160408

SN - 9781605581309

T3 - GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

SP - 1109

EP - 1110

BT - GECCO'08

PB - Association for Computing Machinery (ACM)

T2 - 10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008

Y2 - 12 July 2008 through 16 July 2008

ER -

Learning offspring optimizing mate selection

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this