Genetic Algorithm Based Optimized Circuit Elements Placement In VLSI Design (Record no. 13866)

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control field 20201222110617.0
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fixed length control field 201222b xxu||||| |||| 00| 0 eng d
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Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 12857
Author Surana, Priya
245 ## - TITLE STATEMENT
Title Genetic Algorithm Based Optimized Circuit Elements Placement In VLSI Design
250 ## - EDITION STATEMENT
Volume, Issue number Vol.5(2), Jul-Dec
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. Journals Pub
Year 2019
300 ## - PHYSICAL DESCRIPTION
Pagination 22-31p.
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Summary, etc. The optimization of printed circuit board and placing the electronic components with effectively is a challenging task. However, this dissertation report presents minimization of wire-length and failure rates of the board arising irregular local heat accumulation. By understanding the literature related to the problem in this dissertation two approaches are proposed and developed using genetic algorithms. First approach is for optimizing the placement of electronic components. The proposed genetic algorithm based electronic component placement approach is implemented in python. Second approach uses two criteria to place components: power dissipation (the heat dissipation of the elements should not damage nearby elements) and the total length of interconnections (should be as small as possible). The second approach is implemented using Unity and C# script.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4619
Topical term or geographic name entry element EXTC Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2723
Co-Author Kumar, Rakesh
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication New Delhi Journals pub
Title International journal of VLSI design and technology
856 ## - ELECTRONIC LOCATION AND ACCESS
URL http://ecc.journalspub.info/index.php?journal=JVDT&page=article&op=view&path%5B%5D=1137
Link text Click here
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          School of Engineering & Technology School of Engineering & Technology Archieval Section 2020-12-22 2020-2021183 2020-12-22 2020-12-22 Articles Abstract Database
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