Investigating Gate-Level Evolutionary Development of Combinational Multipliers Using Enhanced Cellular Automata-Based Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82628" target="_blank" >RIV/00216305:26230/09:PU82628 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Investigating Gate-Level Evolutionary Development of Combinational Multipliers Using Enhanced Cellular Automata-Based Model
Original language description
Cellular automata represent a computational model that is based on updating the states of the cells, that are arranged in a regular structure, by means of local interactions between the cells. Cellular automata have often been utilized as a developmentalmodel in engineering areas to solve many complex problems. In the area of the evolutionary algorithms, cellular automata can be applied as an indirect mapping between genotypes and phenotypes. In the recent years, this approach has successfully been applied on the<br>evolutionary development of digital circuits at the gate level. Combinational multipliers represent a class of circuits that is usually considered as hard task for the design using the evolutionary techniques. In our previous research regarding<br>the cellular automata-based development, 2x2-bit multipliers were successfully evolved using this approach. Combinational multipliers have been chosen in this paper to demonstrate capabilities of an advanced developmental system
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of 2009 IEEE Congress on Evolutionary Computation
ISBN
978-1-4244-2958-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE Computational Intelligence Society
Place of publication
NA
Event location
Trondheim
Event date
May 18, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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