Fitness First
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Langdon:2021:GPTP,
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author = "William B. Langdon",
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title = "Fitness First",
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booktitle = "Genetic Programming Theory and Practice XVIII",
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year = "2021",
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editor = "Wolfgang Banzhaf and Leonardo Trujillo and
Stephan Winkler and Bill Worzel",
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series = "Genetic and Evolutionary Computation",
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chapter = "8",
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pages = "143--164",
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address = "East Lansing, MI, USA",
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month = "19-21 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, fast tree
evaluation, Speedup technique, runt free broods, memory
efficient GA, generational EA, runt free broods,
tournament selection, convergence, extended evolution,
Long-Term Evolution Experiment, LTEE, Extended
unbounded evolution, unlimited bloat, memmove, memcpy",
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isbn13 = "978-981-16-8112-7",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2021_GPTP.pdf",
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DOI = "doi:10.1007/978-981-16-8113-4_8",
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code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GPinc.tar.gz",
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size = "21 pages",
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abstract = "With side effect free terminals and functions it is
possible to evaluate the fitness of genetic programming
trees from their parents without creating them. This
allows selection before forming the next generation.
Thus avoiding unfit runt Genetic Algorithm individuals,
which will themselves have no children. In highly
diverse GA populations with strong selection, more than
50 percent of children need not be created. Even with
two parent crossover, in converged populations,
exp(-2)=13.5percent can be saved. Eliminating bachelors
and spinsters and extracting the smaller genetic
material of each mating before crossover, reduces
storage in an N multi-threaded implementation for a
population M to less than 0.63M+N, compared to the
usual M+2N. Memory efficient crossover achieves 692
billion GP operations per second, 692 giga GPops, at
runtime on a 16 core 3.8GHz desktop.",
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notes = "Slides:
http://www.cs.ucl.ac.uk/staff/W.Langdon/gptp2021/Langdon_2021_GPTP_slides.pdf
Part of \cite{Banzhaf:2021:GPTP} published after the
workshop in 2022
Pagination etc. of preprint not identical to
published.",
- }
Genetic Programming entries for
William B Langdon
Citations