On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms

Stefan Vonolfen; Stefan Wagner; Andreas Beham; Michael Affenzeller

On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms

Stefan Vonolfen, Stefan Wagner, Andreas Beham, Michael Affenzeller

Research Center Hagenberg

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

Abstract

This work provides a case-study of how metaheuristic optimization algorithms can be developed using a domain-specific language as a separate modeling layer. A separation of the modeling process from the implementation of the algorithmic concepts improves the communication and collaboration of practitioners, optimization experts and programmers. This is achieved by providing a higher level of abstraction compared to a general-purpose programming language. A generic and extensible modeling concept is presented and several example algorithm models are illustrated.

Original language	English
Title of host publication	22th European Modeling and Simulation Symposium, EMSS 2010
Pages	59-64
Number of pages	6
Publication status	Published - 2010
Event	22th European Modeling and Simulation Symposium, EMSS 2010 - Fes, Morocco Duration: 13 Oct 2010 → 15 Oct 2010

Publication series

Name	22th European Modeling and Simulation Symposium, EMSS 2010

Conference

Conference	22th European Modeling and Simulation Symposium, EMSS 2010
Country/Territory	Morocco
City	Fes
Period	13.10.2010 → 15.10.2010

Keywords

Domain specific language
Metaheuristics
Modeling

Cite this

@inproceedings{8724de3760ec48a39fdd40faffbd5c20,

title = "On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms",

abstract = "This work provides a case-study of how metaheuristic optimization algorithms can be developed using a domain-specific language as a separate modeling layer. A separation of the modeling process from the implementation of the algorithmic concepts improves the communication and collaboration of practitioners, optimization experts and programmers. This is achieved by providing a higher level of abstraction compared to a general-purpose programming language. A generic and extensible modeling concept is presented and several example algorithm models are illustrated.",

keywords = "Domain specific language, Metaheuristics, Modeling",

author = "Stefan Vonolfen and Stefan Wagner and Andreas Beham and Michael Affenzeller",

year = "2010",

language = "English",

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series = "22th European Modeling and Simulation Symposium, EMSS 2010",

pages = "59--64",

booktitle = "22th European Modeling and Simulation Symposium, EMSS 2010",

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Vonolfen, S, Wagner, S, Beham, A & Affenzeller, M 2010, On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms. in 22th European Modeling and Simulation Symposium, EMSS 2010. 22th European Modeling and Simulation Symposium, EMSS 2010, pp. 59-64, 22th European Modeling and Simulation Symposium, EMSS 2010, Fes, Morocco, 13.10.2010.

On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms. / Vonolfen, Stefan; Wagner, Stefan; Beham, Andreas et al.
22th European Modeling and Simulation Symposium, EMSS 2010. 2010. p. 59-64 (22th European Modeling and Simulation Symposium, EMSS 2010).

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

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T1 - On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms

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AU - Wagner, Stefan

AU - Beham, Andreas

AU - Affenzeller, Michael

PY - 2010

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N2 - This work provides a case-study of how metaheuristic optimization algorithms can be developed using a domain-specific language as a separate modeling layer. A separation of the modeling process from the implementation of the algorithmic concepts improves the communication and collaboration of practitioners, optimization experts and programmers. This is achieved by providing a higher level of abstraction compared to a general-purpose programming language. A generic and extensible modeling concept is presented and several example algorithm models are illustrated.

AB - This work provides a case-study of how metaheuristic optimization algorithms can be developed using a domain-specific language as a separate modeling layer. A separation of the modeling process from the implementation of the algorithmic concepts improves the communication and collaboration of practitioners, optimization experts and programmers. This is achieved by providing a higher level of abstraction compared to a general-purpose programming language. A generic and extensible modeling concept is presented and several example algorithm models are illustrated.

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KW - Metaheuristics

KW - Modeling

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M3 - Conference contribution

SN - 2952474788

SN - 9782952474788

T3 - 22th European Modeling and Simulation Symposium, EMSS 2010

SP - 59

EP - 64

BT - 22th European Modeling and Simulation Symposium, EMSS 2010

T2 - 22th European Modeling and Simulation Symposium, EMSS 2010

Y2 - 13 October 2010 through 15 October 2010

ER -

On the benefits of a domain-specific language for modeling metaheuristic optimization algorithms

Abstract

Publication series

Conference

Keywords

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