Details
| Originalsprache | Englisch |
|---|---|
| Seiten | 177-178 |
| Seitenumfang | 2 |
| Ausgabenummer | 4 |
| Fachzeitschrift | Elektrowärme international (EWI) |
| Publikationsstatus | Veröffentlicht - 2004 |
Abstract
Electrical heating and melting installations are of great use in metal-processing industry, and it stops many new technologies because they can be realized under optimal conditions only. Local parametrical handmade improvement of electrothermal systems done by advanced numerical modelling cannot be accepted as an optimization. Different optimization methods belonging to both deterministic and stochastic groups have been tested to search the optimum designs. The algorithms are tuned by several parameters such as population size, and probabilities for applying genetic operators.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: Elektrowärme international (EWI), Nr. 4, 2004, S. 177-178.
Publikation: Beitrag in nicht-wissenschaftlicher/populärwissenschaftlicher Zeitschrift/Zeitung › Beitrag in Publikumszeitung/-zeitschrift › Transfer
}
TY - GEN
T1 - From expert solution to optimal design of electrothermal installations
AU - Nikanorov, A.
AU - Schülbe, H.
AU - Galunin, S.
N1 - Copyright: Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - Electrical heating and melting installations are of great use in metal-processing industry, and it stops many new technologies because they can be realized under optimal conditions only. Local parametrical handmade improvement of electrothermal systems done by advanced numerical modelling cannot be accepted as an optimization. Different optimization methods belonging to both deterministic and stochastic groups have been tested to search the optimum designs. The algorithms are tuned by several parameters such as population size, and probabilities for applying genetic operators.
AB - Electrical heating and melting installations are of great use in metal-processing industry, and it stops many new technologies because they can be realized under optimal conditions only. Local parametrical handmade improvement of electrothermal systems done by advanced numerical modelling cannot be accepted as an optimization. Different optimization methods belonging to both deterministic and stochastic groups have been tested to search the optimum designs. The algorithms are tuned by several parameters such as population size, and probabilities for applying genetic operators.
UR - http://www.scopus.com/inward/record.url?scp=26244456747&partnerID=8YFLogxK
M3 - Contribution in non-scientific journal
AN - SCOPUS:26244456747
SP - 177
EP - 178
JO - Elektrowärme international (EWI)
JF - Elektrowärme international (EWI)
SN - 2367-1130
ER -