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» Numeric Mutation: Improved Search in Genetic Programming
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FLAIRS
2006
13 years 6 months ago
Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty
In this paper we test whether a correlation exists between the optimal mutation rate and problem difficulty. We find that the range of optimal mutation rates is inversely proporti...
Alan Piszcz, Terence Soule
PPSN
1994
Springer
13 years 9 months ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 8 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
ICCS
2007
Springer
13 years 11 months ago
Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load
Long-standing theoretical concerns about mutation accumulation within the human population can now be addressed with numerical simulation. We apply a biologically realistic forward...
John Sanford, John Baumgardner, Wes Brewer, Paul G...