Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms   [GA]

by

Juels, A. and Wattenberg, M.

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Info: 1995
Keywords:genetic algorithms, genetic programming
Notes:
"We demonstate that simple stochastic hillcliming methods are able to achieve results comparable or superior to those obtained by the GAs". 4 GAs one is Koza's 11-multiplexor.
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BibTex:
@TechReport{juels:1995:shceGA,
  author =       "Ari Juels and Martin Wattenberg",
  title =        "Stochastic Hillclimbing as a Baseline Method for
                 Evaluating Genetic Algorithms",
  institution =  "Department of Computer Science, University of
                 California at Berkeley",
  year =         "1995",
  type =         "Technical Report",
  number =       "CSD-94-834",
  address =      "USA",
  month =        "18 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  notes =        "{"}We demonstate that simple stochastic hillcliming
                 methods are able to achieve results comparable or
                 superior to those obtained by the GAs{"}. 4 GAs one is
                 Koza's 11-multiplexor.

                 ",
}