ON THE BENEFITS OF A DOMAIN-SPECIFIC LANGUAGE FOR MODELING METAHEURISTIC OPTIMIZATION ALGORITHMS

被引：0

作者：

Vonolfen, Stefan ^{[1
]}

Wagner, Stefan ^{[1
]}

Beham, Andreas ^{[1
]}

Affenzeller, Michael ^{[1
]}

机构：

[1] Upper Austria Univ Appl Sci, Sch Informat Commun & Media, Heurist & Evolutionary Algorithms Lab, Campus Hagenberg Softwarepk 11, A-4232 Hagenberg, Austria

来源：

22ND EUROPEAN MODELING AND SIMULATION SYMPOSIUM (EMSS 2010) | 2010年

关键词：

metaheuristics; modeling; domain specific language;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：59 / 64

页数：6

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