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Interleaving Innovi...
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence
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- Ng, Amos H. C., 1970- (författare)
- Högskolan i Skövde,Forskningscentrum för Virtuella system,Institutionen för teknik och samhälle,Production and Automation Engineering
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- Dudas, Catarina (författare)
- Högskolan i Skövde,Forskningscentrum för Virtuella system,Institutionen för teknik och samhälle,Production and Automation Engineering
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- Boström, Henrik (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Kalyanmoy, Deb (författare)
- Michigan State University, USA
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(creator_code:org_t)
- 1
- 2013-11-26
- 2013
- Engelska.
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Ingår i: Learning and Intelligent Optimization. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642449727 - 9783642449734 ; , s. 1-18
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- This paper introduces a novel methodology for the optimization, analysis and decision support in production systems engineering. The methodology is based on the innovization procedure, originally introduced to unveil new and innovative design principles in engineering design problems. The innovization procedure stretches beyond an optimization task and attempts to discover new design/operational rules/principles relating to decision variables and objectives, so that a deeper understanding of the underlying problem can be obtained. By integrating the concept of innovization with simulation and data mining techniques, a new set of powerful tools can be developed for general systems analysis. The uniqueness of the approach introduced in this paper lies in that decision rules extracted from the multi-objective optimization using data mining are used to modify the original optimization. Hence, faster convergence to the desired solution of the decision-maker can be achieved. In other words, faster convergence and deeper knowledge of the relationships between the key decision variables and objectives can be obtained by interleaving the multi-objective optimization and data mining process. In this paper, such an interleaved approach is illustrated through a set of experiments carried out on a simulation model developed for a real-world production system analysis problem.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Innovization
- Multi-Objective Optimization
- Data Mining
- Production Systems
- Technology
- Teknik
- Production and Automation Engineering
- Produktion och automatiseringsteknik
- Computer and Systems Sciences
Publikations- och innehållstyp
- ref (ämneskategori)
- kap (ämneskategori)
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