Theory of evolution strategies and related algorithms

Youhei Akimoto; Anne Auger

doi:10.1145/2739482.2756585

Theory of evolution strategies and related algorithms

Youhei Akimoto
, Anne Auger

Shinshu University
INRIA

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

Original language	English
Title of host publication	GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference
Editors	Sara Silva
Publisher	Association for Computing Machinery, Inc
Pages	575-588
Number of pages	14
ISBN (Electronic)	9781450334884
DOIs	https://doi.org/10.1145/2739482.2756585
Publication status	Published - 11 Jul 2015
Externally published	Yes
Event	17th Genetic and Evolutionary Computation Conference, GECCO 2015 - Madrid, Spain Duration: 11 Jul 2015 → 15 Jul 2015

Publication series

Name	GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference

Conference

Conference	17th Genetic and Evolutionary Computation Conference, GECCO 2015
Country/Territory	Spain
City	Madrid
Period	11/07/15 → 15/07/15

Access to Document

10.1145/2739482.2756585

Cite this

Akimoto, Y., & Auger, A. (2015). Theory of evolution strategies and related algorithms. In S. Silva (Ed.), GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference (pp. 575-588). (GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/2739482.2756585

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title = "Theory of evolution strategies and related algorithms",

author = "Youhei Akimoto and Anne Auger",

year = "2015",

month = jul,

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language = "English",

series = "GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference",

publisher = "Association for Computing Machinery, Inc",

pages = "575--588",

editor = "Sara Silva",

booktitle = "GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference",

note = "17th Genetic and Evolutionary Computation Conference, GECCO 2015 ; Conference date: 11-07-2015 Through 15-07-2015",

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Akimoto, Y & Auger, A 2015, Theory of evolution strategies and related algorithms. in S Silva (ed.), GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, Inc, pp. 575-588, 17th Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, 11/07/15. https://doi.org/10.1145/2739482.2756585

Theory of evolution strategies and related algorithms. / Akimoto, Youhei; Auger, Anne.
GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. ed. / Sara Silva. Association for Computing Machinery, Inc, 2015. p. 575-588 (GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference).

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

TY - GEN

T1 - Theory of evolution strategies and related algorithms

AU - Akimoto, Youhei

AU - Auger, Anne

PY - 2015/7/11

Y1 - 2015/7/11

U2 - 10.1145/2739482.2756585

DO - 10.1145/2739482.2756585

M3 - Conference contribution

AN - SCOPUS:84959422725

T3 - GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference

SP - 575

EP - 588

BT - GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference

A2 - Silva, Sara

PB - Association for Computing Machinery, Inc

T2 - 17th Genetic and Evolutionary Computation Conference, GECCO 2015

Y2 - 11 July 2015 through 15 July 2015

ER -

Akimoto Y, Auger A. Theory of evolution strategies and related algorithms. In Silva S, editor, GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc. 2015. p. 575-588. (GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference). doi: 10.1145/2739482.2756585