Automatic Machine Code Generation for a Transport Triggered Architecture using Cartesian Genetic Programming
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- @Article{journals/ijaras/WalkerLTTT12,
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author = "James Alfred Walker and Yang Liu and
Gianluca Tempesti and Jon Timmis and Andy M. Tyrrell",
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title = "Automatic Machine Code Generation for a Transport
Triggered Architecture using Cartesian Genetic
Programming",
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journal = "International Journal of Adaptive, Resilient and
Autonomic Systems",
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year = "2012",
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volume = "3",
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number = "4",
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pages = "32--50",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming",
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ISSN = "1947-9220",
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DOI = "doi:10.4018/jaras.2012100103",
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bibdate = "2013-03-06",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/ijaras/ijaras3.html#WalkerLTTT12",
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abstract = "Transport triggered architectures are used for
implementing bio-inspired systems due to their
simplicity, modularity and fault-tolerance. However,
producing efficient, optimised machine code for such
architectures is extremely difficult, since
computational complexity has moved from the
hardware-level to the software-level. Presented is the
application of Cartesian Genetic Programming (CGP) to
the evolution of machine code for a simple
implementation of transport triggered architecture. The
effectiveness of the algorithm is demonstrated by
evolving machine code for a 4-bit multiplier with three
different levels of parallelism. The results show that
100percent successful solutions were found by CGP and
by further optimising the size of the solutions, it is
possible to find efficient implementations of the 4-bit
multiplier. Further analysis of the solutions showed
that use of loops within the CGP function set could be
beneficial and was demonstrated by repeating the
earlier 4-bit multiplier experiment with the addition
of a loop function.",
- }
Genetic Programming entries for
James Alfred Walker
Yang Liu
Gianluca Tempesti
Jon Timmis
Andrew M Tyrrell
Citations