Evolutionary Optimization of Decomposition Strategies for Logical Functions
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @InProceedings{DBLP:conf/icaisc/DeniziakW12,
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author = "Stanislaw Deniziak and Karol Wieczorek",
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title = "Evolutionary Optimization of Decomposition Strategies
for Logical Functions",
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booktitle = "Proceedings of the International Symposia on Swarm and
Evolutionary Computation, SIDE 2012 and EC 2012",
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year = "2012",
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editor = "Leszek Rutkowski and Marcin Korytkowski and
Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and
Jacek M Zurada",
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volume = "7269",
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series = "Lecture Notes in Computer Science",
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pages = "182--189",
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address = "Zakopane, Poland",
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month = apr # " 29-" # may # " 3",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, developmental
genetic programming, functional decomposition, FPGA
devices",
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isbn13 = "978-3-642-29352-8",
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DOI = "doi:10.1007/978-3-642-29353-5_21",
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size = "8 pages",
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abstract = "This paper presents a method of searching for the best
decomposition strategy for logical functions. The
strategy is represented by a decision tree, where each
node corresponds to a single decomposition step. In
that way the multistage decomposition of complex
logical functions may be specified. The tree evolves
using the developmental genetic programming. The goal
of the evolution is to find a decomposition strategy
for which the cost of FPGA implementation of a given
function is minimal. Experimental results show that our
approach gives significantly better outcomes than other
existing methods.",
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notes = "Held in conjunction with ICAISC 2012, SIDE and EC
2012",
- }
Genetic Programming entries for
Stanislaw Deniziak
Karol Wieczorek
Citations