A Genetic Algorithm for Optimization of a Relational Knapsack Problem with Respect to a Description Logic Knowledge Base

Thomas Fischer () and Johannes Ruhland ()
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Thomas Fischer: Friedrich-Schiller-University Jena
Johannes Ruhland: Friedrich-Schiller-University Jena

A chapter in Operations Research Proceedings 2010, 2011, pp 201-206 from Springer

Abstract: Abstract We present an approach that integrates a description logic based knowledge representation system into the optimization process. A description logic defines concepts, roles (properties) and object instances for relational data, which enables one to reason about complex objects and their relations. We outline a relational knapsack problem, which utilizes the knowledge base during optimization. Furthermore, we present a genetic algorithm to outline an approximate algorithm for a heuristic solution.

Keywords: Genetic Algorithm; Resource Description Framework; Knapsack Problem; Description Logic; Multidimensional Knapsack Problem (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-642-20009-0_32

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DOI: 10.1007/978-3-642-20009-0_32

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