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An empirical compar...
An empirical comparison of metamodeling strategies in noisy environments
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- Bandaru, Sunith, 1984- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Simulation-Based Optimization
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- Ng, Amos H. C., 1970- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Simulation-Based Optimization
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(creator_code:org_t)
- 2018-07-02
- 2018
- Engelska.
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Ingår i: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2018). - New York, NY, USA : ACM Digital Library. - 9781450356183 ; , s. 817-824
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Abstract
Ämnesord
Stäng
- Metamodeling plays an important role in simulation-based optimization by providing computationally inexpensive approximations for the objective and constraint functions. Additionally metamodeling can also serve to filter noise, which is inherent in many simulation problems causing optimization algorithms to be mislead. In this paper, we conduct a thorough statistical comparison of four popular metamodeling methods with respect to their approximation accuracy at various levels of noise. We use six scalable benchmark problems from the optimization literature as our test suite. The problems have been chosen to represent different types of fitness landscapes, namely, bowl-shaped, valley-shaped, steep ridges and multi-modal, all of which can significantly influence the impact of noise. Each metamodeling technique is used in combination with four different noise handling techniques that are commonly employed by practitioners in the field of simulation-based optimization. The goal is to identify the metamodeling strategy, i.e. a combination of metamodeling and noise handling, that performs significantly better than others on the fitness landscapes under consideration. We also demonstrate how these results carry over to a simulation-based optimization problem concerning a scalable discrete event model of a simple but realistic production line.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Annan maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
Nyckelord
- simulation
- optimization
- metamodeling
- noise
- Production and Automation Engineering
- Produktion och automatiseringsteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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