 Dynamic specialization for symbiotic simulation-based operational decision support using the evolutionary computing modelling language (ECML)Heiko Aydt, Wentong Cai and Stephen John Turner Journal of Simulation, 2014, vol. 8, issue 2, 105-114 Abstract: Simulation-based what-if analysis is an important tool that can be used to support operational decision making. Solutions to operational decision problems have to be found in a limited period of time. As a result of these time constraints, not all candidate solutions can be evaluated by means of simulation. Essentially, this problem solving process is an optimization process. Specialization of the optimization method can help to reduce the computing budget needed to find an appropriate solution. However, since operational conditions are constantly changing, the exact problem is not known at design time. Therefore, the optimization method has to be specialized during runtime. This can be done by dynamically incorporating situation-dependent problem-specific knowledge into the optimization process. We introduce a method based on an evolutionary algorithm, which supports dynamic specialization. Furthermore, we demonstrate the effectiveness of this method in the context of a semiconductor manufacturing application. Date: 2014 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:8:y:2014:i:2:p:105-114 Ordering information: This journal article can be ordered from DOI: 10.1057/jos.2013.15 Access Statistics for this article Journal of Simulation is currently edited by Christine Currie More articles in Journal of Simulation from Taylor & Francis Journals |
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