Evolving Parallel Machine Programs for a Multi-ALU Processor
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{leung:2002:epmpfamp,
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author = "Kwong Sak Leung and Kin Hong Lee and Sin Man Cheang",
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title = "Evolving Parallel Machine Programs for a {Multi-ALU}
Processor",
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booktitle = "Proceedings of the 2002 Congress on Evolutionary
Computation CEC2002",
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editor = "David B. Fogel and Mohamed A. El-Sharkawi and
Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and
Mark Shackleton",
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pages = "1703--1708",
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year = "2002",
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publisher = "IEEE Press",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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organisation = "IEEE Neural Network Council (NNC), Institution of
Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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ISBN = "0-7803-7278-6",
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month = "12-17 " # may,
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notes = "CEC 2002 - A joint meeting of the IEEE, the
Evolutionary Programming Society, and the IEE. Held in
connection with the World Congress on Computational
Intelligence (WCCI 2002)",
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keywords = "genetic algorithms, genetic programming, Factorial
sequence, Fibonacci sequence, Sextic function,
experiments, genetic parallel programming, linear
genetic programming, multi-ALU processor, optimal
parallel program evolution, parallel machine programs,
program execution speed optimisation, two-phase
evolution, instruction sets, multiprocessing systems,
parallel programming",
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DOI = "doi:10.1109/CEC.2002.1004499",
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abstract = "This paper proposes a novel genetic parallel
programming (GPP) paradigm for evolving optimal
parallel programs running on a multi-ALU processor by
linear genetic programming. GPP uses a two-phase
evolution approach. It evolves completely correct
solution programs in the first phase. Then it optimises
execution speeds of solution programs in the second
phase. Besides, GPP also employs a new genetic
operation that swaps sub-instructions of a solution
program. Three experiments (Sextic, Fibonacci and
Factorial) are given as examples to show that GPP could
discover novel parallel programs that fully use the
processor's parallelism",
- }
Genetic Programming entries for
Kwong-Sak Leung
Kin-Hong Lee
Ivan Sin Man Cheang
Citations