HeuristicLab 3.3: A unified approach to metaheuristic optimization

Stefan Wagner; Andreas Beham; Gabriel Kronberger; Michael Kommenda; Erik Pitzer; Monika Kofler; Stefan Vonolfen; Stephan Winkler; Viktoria Dorfer; Michael Affenzeller

HeuristicLab 3.3: A unified approach to metaheuristic optimization

Stefan Wagner, Andreas Beham, Gabriel Kronberger, Michael Kommenda, Erik Pitzer, Monika Kofler, Stefan Vonolfen, Stephan Winkler, Viktoria Dorfer, Michael Affenzeller

Research Center Hagenberg

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

Abstract

The awareness of heuristic methods as optimization tools and their, in comparison to exact algorithms, quick and simple application has expanded to many different domains in the recent history. In the course of these developments the user base of heuristic optimization methods has also grown from mathematicians and computer scientists to practitioners in virtually every field. To facilitate the application of heuristic optimizers in domains where no computer-scientist has gone before, a number of more or less advanced software frameworks exists. In this paper the authors introduce a new version of their software environment HeuristicLab which aims to provide a comprehensive solution for algorithm development, testing, analysis and generally the optimization of complex problems.

Original language	English
Title of host publication	Actas del séptimo congreso español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010)
Number of pages	8
Publication status	Published - 2010
Event	VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010) - Valencia, Spain, Spain Duration: 7 Sept 2010 → 10 Sept 2010

Conference

Conference	VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010)
Country/Territory	Spain
City	Valencia, Spain
Period	07.09.2010 → 10.09.2010

Keywords

evolutionary algorithms
optimization
software frameworks

Cite this

@inproceedings{db3d8f46c6c346fc8d04cb59e4c925c8,

title = "HeuristicLab 3.3: A unified approach to metaheuristic optimization",

abstract = "The awareness of heuristic methods as optimization tools and their, in comparison to exact algorithms, quick and simple application has expanded to many different domains in the recent history. In the course of these developments the user base of heuristic optimization methods has also grown from mathematicians and computer scientists to practitioners in virtually every field. To facilitate the application of heuristic optimizers in domains where no computer-scientist has gone before, a number of more or less advanced software frameworks exists. In this paper the authors introduce a new version of their software environment HeuristicLab which aims to provide a comprehensive solution for algorithm development, testing, analysis and generally the optimization of complex problems.",

keywords = "evolutionary algorithms, optimization, software frameworks, evolutionary algorithms, optimization, software frameworks",

author = "Stefan Wagner and Andreas Beham and Gabriel Kronberger and Michael Kommenda and Erik Pitzer and Monika Kofler and Stefan Vonolfen and Stephan Winkler and Viktoria Dorfer and Michael Affenzeller",

year = "2010",

language = "English",

booktitle = "Actas del s{\'e}ptimo congreso espa{\~n}ol sobre Metaheur{\'i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010)",

note = "VII Congreso Espa{\~n}ol sobre Metaheur{\'i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010) ; Conference date: 07-09-2010 Through 10-09-2010",

}

Wagner, S, Beham, A, Kronberger, G, Kommenda, M, Pitzer, E, Kofler, M, Vonolfen, S, Winkler, S , Dorfer, V & Affenzeller, M 2010, HeuristicLab 3.3: A unified approach to metaheuristic optimization. in Actas del séptimo congreso español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010). VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010), Valencia, Spain, Spain, 07.09.2010.

TY - GEN

T1 - HeuristicLab 3.3: A unified approach to metaheuristic optimization

AU - Wagner, Stefan

AU - Beham, Andreas

AU - Kronberger, Gabriel

AU - Kommenda, Michael

AU - Pitzer, Erik

AU - Kofler, Monika

AU - Vonolfen, Stefan

AU - Winkler, Stephan

AU - Dorfer, Viktoria

AU - Affenzeller, Michael

PY - 2010

Y1 - 2010

N2 - The awareness of heuristic methods as optimization tools and their, in comparison to exact algorithms, quick and simple application has expanded to many different domains in the recent history. In the course of these developments the user base of heuristic optimization methods has also grown from mathematicians and computer scientists to practitioners in virtually every field. To facilitate the application of heuristic optimizers in domains where no computer-scientist has gone before, a number of more or less advanced software frameworks exists. In this paper the authors introduce a new version of their software environment HeuristicLab which aims to provide a comprehensive solution for algorithm development, testing, analysis and generally the optimization of complex problems.

AB - The awareness of heuristic methods as optimization tools and their, in comparison to exact algorithms, quick and simple application has expanded to many different domains in the recent history. In the course of these developments the user base of heuristic optimization methods has also grown from mathematicians and computer scientists to practitioners in virtually every field. To facilitate the application of heuristic optimizers in domains where no computer-scientist has gone before, a number of more or less advanced software frameworks exists. In this paper the authors introduce a new version of their software environment HeuristicLab which aims to provide a comprehensive solution for algorithm development, testing, analysis and generally the optimization of complex problems.

KW - evolutionary algorithms

KW - optimization

KW - software frameworks

KW - evolutionary algorithms

KW - optimization

KW - software frameworks

UR - https://research.fh-ooe.at/data/files/publications/1688_MAEB_2010_Wagner.pdf

M3 - Conference contribution

BT - Actas del séptimo congreso español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010)

T2 - VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'2010)

Y2 - 7 September 2010 through 10 September 2010

ER -

HeuristicLab 3.3: A unified approach to metaheuristic optimization

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Conference

Keywords

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