R2-EMOA: Focused multiobjective search using R2-indicator-based selection

Heike Trautmann; Tobias Wagner; Dimo Brockhoff

doi:10.1007/978-3-642-44973-4_8

R2-EMOA: Focused multiobjective search using R2-indicator-based selection

Heike Trautmann, Tobias Wagner, Dimo Brockhoff

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

Abstract

An indicator-based evolutionary multiobjective optimization algorithm (EMOA) is introduced which incorporates the contribution to the unary R2-indicator as the secondary selection criterion. First experiments indicate that the R2-EMOA accurately approximates the Pareto front of the considered continuous multiobjective optimization problems. Furthermore, decision makers' preferences can be included by adjusting the weight vector distributions of the indicator which results in a focused search behavior.

Original language	English
Title of host publication	Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers
Pages	70-74
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-642-44973-4_8
Publication status	Published - 30 Dec 2013
Event	7th International Conference on Learning and Intelligent Optimization, LION 7 - Catania, Italy Duration: 7 Jan 2013 → 11 Jan 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7997 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Learning and Intelligent Optimization, LION 7
Country/Territory	Italy
City	Catania
Period	7/01/13 → 11/01/13

Keywords

EMOA
Indicator-based selection
Multiobjective optimization
Performance assessment
Preferences
R2-indicator

Access to Document

10.1007/978-3-642-44973-4_8

Cite this

Trautmann, H., Wagner, T., & Brockhoff, D. (2013). R2-EMOA: Focused multiobjective search using R2-indicator-based selection. In Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers (pp. 70-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7997 LNCS). https://doi.org/10.1007/978-3-642-44973-4_8

Trautmann, Heike ; Wagner, Tobias ; Brockhoff, Dimo. / R2-EMOA : Focused multiobjective search using R2-indicator-based selection. Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers. 2013. pp. 70-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "R2-EMOA: Focused multiobjective search using R2-indicator-based selection",

abstract = "An indicator-based evolutionary multiobjective optimization algorithm (EMOA) is introduced which incorporates the contribution to the unary R2-indicator as the secondary selection criterion. First experiments indicate that the R2-EMOA accurately approximates the Pareto front of the considered continuous multiobjective optimization problems. Furthermore, decision makers' preferences can be included by adjusting the weight vector distributions of the indicator which results in a focused search behavior.",

keywords = "EMOA, Indicator-based selection, Multiobjective optimization, Performance assessment, Preferences, R2-indicator",

author = "Heike Trautmann and Tobias Wagner and Dimo Brockhoff",

year = "2013",

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doi = "10.1007/978-3-642-44973-4\_8",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Trautmann, H, Wagner, T & Brockhoff, D 2013, R2-EMOA: Focused multiobjective search using R2-indicator-based selection. in Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7997 LNCS, pp. 70-74, 7th International Conference on Learning and Intelligent Optimization, LION 7, Catania, Italy, 7/01/13. https://doi.org/10.1007/978-3-642-44973-4_8

R2-EMOA: Focused multiobjective search using R2-indicator-based selection. / Trautmann, Heike; Wagner, Tobias; Brockhoff, Dimo.
Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers. 2013. p. 70-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7997 LNCS).

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

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AU - Wagner, Tobias

AU - Brockhoff, Dimo

PY - 2013/12/30

Y1 - 2013/12/30

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AB - An indicator-based evolutionary multiobjective optimization algorithm (EMOA) is introduced which incorporates the contribution to the unary R2-indicator as the secondary selection criterion. First experiments indicate that the R2-EMOA accurately approximates the Pareto front of the considered continuous multiobjective optimization problems. Furthermore, decision makers' preferences can be included by adjusting the weight vector distributions of the indicator which results in a focused search behavior.

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KW - Indicator-based selection

KW - Multiobjective optimization

KW - Performance assessment

KW - Preferences

KW - R2-indicator

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DO - 10.1007/978-3-642-44973-4_8

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SN - 9783642449727

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers

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Trautmann H, Wagner T, Brockhoff D. R2-EMOA: Focused multiobjective search using R2-indicator-based selection. In Learning and Intelligent Optimization - 7th International Conference, LION 7, Revised Selected Papers. 2013. p. 70-74. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-44973-4_8

R2-EMOA: Focused multiobjective search using R2-indicator-based selection

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Keywords

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