ISHED1: Applying the LEM Methodology to Heat Exchanger Design

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dc.contributor.authorMichalski, Ryszard S.
dc.contributor.authorKaufman, Kenneth A.
dc.date.accessioned2006-11-03T18:14:34Z
dc.date.available2006-11-03T18:14:34Z
dc.date.issued2000-01
dc.description.sponsorshipThe authors thank the National Institute of Standards and Technology and Intelligent Information Systems, Inc. for their support on this project. This research was conducted in the Machine Learning and Inference Laboratory at George Mason University. The Laboratory's activities are supported in part by the National Science Foundation under grants IIS-9904078 and IRI-9510644, in part by the Defense Advanced Research Projects Agency under Grant No. F49620-95-1-0642 administered by the Air Force Office of Scientific Research, and in part by the Office of Naval Research under grant N00014-91-J-1351.
dc.format.extent1830 bytes
dc.format.extent5843776 bytes
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dc.format.mimetypetext/xml
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.identifier.citationKaufman, K. and Michalski, R. S., "ISHED1: Applying the LEM Methodology to Heat Exchanger Design," Reports of the Machine Learning and Inference Laboratory, MLI 00-2, George Mason University, Fairfax, VA, 2000.
dc.identifier.urihttps://hdl.handle.net/1920/1458
dc.language.isoen_US
dc.relation.ispartofseriesP 00-3
dc.subjectEvolutionary computation
dc.subjectMultistrategy learning
dc.subjectEngineering design
dc.subjectLearnable evolution model
dc.titleISHED1: Applying the LEM Methodology to Heat Exchanger Design
dc.typeTechnical report

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