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» Evolving Crossover Operators for Function Optimization
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EUROGP
2009
Springer
138views Optimization» more  EUROGP 2009»
14 years 2 months ago
Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing
Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It is able to modify its own phenotype during execution of the evolved program. This is do...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
13 years 11 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
GECCO
2000
Springer
13 years 11 months ago
Sampling Bias and Search Space Boundary Extension in Real Coded Genetic Algorithms
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
Shigeyoshi Tsutsui
EVOW
2005
Springer
14 years 1 months ago
The Electric Sheep Screen-Saver: A Case Study in Aesthetic Evolution
Abstract. Electric Sheep is a distributed screen-saver that harnesses idle computers into a render farm with the purpose of animating and evolving artificial life-forms known as s...
Scott Draves
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs