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Is the Perfect the Enemy of the Good? (2002)

by Sean Luke Http ,  Sean Luke ,  Liviu Panait
In Genetic and Evolutionary Computation Conference
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Abstract:

Much of the genetic programming literature compares techniques using counts of ideal solutions found. These counts in turn form common comparison measures such as Koza's Computational Effort or Cumulative Probability of Success.

Citations

1921 Genetic Programming I : On the Programming of Computers by Means of Natural Selection – Koza - 1992
206 Genetic Programming : An Introduction : On the Automatic Evolution of Computer Programs and Its Applications – Banzhaf, Nordin, et al. - 1998
63 The Evolution of Size and Shape – Langdon, Soule, et al. - 1999
54 Subtree crossover: Building block engine or macromutation – Angeline - 1997
35 A Revised Comparison of Crossover and Mutation in Genetic Programming – Luke, Spector - 1998
24 Issues in Scaling Genetic Programming: Breeding Strategies, Tree Generation, and Code Bloat – Luke - 2000
19 When short runs beat long runs – Luke - 2001
15 An investigation into the sensitivity of genetic programming to the frequency of leaf selection during subtree crossover – Angeline - 1996
11 Challenges with verification, repeatability, and meaningful comparisons in genetic programming – Daida, Ross, et al. - 1997
5 Of metaphors and darwinism: Deconstructing genetic programming's chimera – Daida, Yalcin, et al. - 1999
3 ECJ 7: An evolutionary computation research system in Java. Available at http://www.cs.umd.edu/projects/plus/ec/ecj – Luke - 2001