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GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 6 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
ICGA
1993
140views Optimization» more  ICGA 1993»
13 years 7 months ago
Expected Allele Coverage and the Role of Mutation in Genetic Algorithms
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
David M. Tate, Alice E. Smith
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 9 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
EVOW
2005
Springer
13 years 11 months ago
Assortative Mating in Genetic Algorithms for Dynamic Problems
Non-random mating seems to be the norm in nature among sexual organisms. A common mating criteria among animals is assortative mating, where individuals mate according to their phe...
Gabriela Ochoa, Christian Mädler-Kron, Ricard...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
13 years 11 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule