Model Driven Rapid Prototyping of Heuristic Optimization Algorithms

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4 Citations (Scopus)


In this paper the authors describe a model driven approach for the development of heuristic optimization algorithms. Based on a generic algorithm model, several operators are presented which can be used as algorithm building blocks. In combination with a graphical user interface, this approach provides an interactive and declarative way of engineering complex optimization heuristics. By this means, it also enables users with little programming experience to develop, tune, test, and analyze heuristic optimization techniques.
Original languageEnglish
Pages (from-to)729-736
Number of pages8
JournalLecture Notes in Computer Science
Issue number1
Publication statusPublished - Dec 2009


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