Verfügbarkeit: Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems

Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems:

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Bibliographische Detailangaben
Weitere Verfasser:	Bhuvaneswari, M. C. (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New Delhi [u.a.] Springer 2015
Schlagworte:	Ingenieurwissenschaften Engineering Mathematical optimization Systems engineering
Online-Zugang:	BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext
Beschreibung:	1 Online-Ressource (XI, 174 S.) Ill., graph. Darst.
ISBN:	9788132219583
DOI:	10.1007/978-81-322-1958-3

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Datensatz im Suchindex

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language	English
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spellingShingle	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems Ingenieurwissenschaften Engineering Mathematical optimization Systems engineering
title	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems
title_auth	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems
title_exact_search	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems
title_full	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems M. C. Bhuvaneswaried, ed.
title_fullStr	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems M. C. Bhuvaneswaried, ed.
title_full_unstemmed	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems M. C. Bhuvaneswaried, ed.
title_short	Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems
title_sort	application of evolutionary algorithms for multi objective optimization in vlsi and embedded systems
topic	Ingenieurwissenschaften Engineering Mathematical optimization Systems engineering
topic_facet	Ingenieurwissenschaften Engineering Mathematical optimization Systems engineering
url	https://doi.org/10.1007/978-81-322-1958-3
work_keys_str_mv	AT bhuvaneswarimc applicationofevolutionaryalgorithmsformultiobjectiveoptimizationinvlsiandembeddedsystems

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