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» Evolving Crossover Operators for Function Optimization
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CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 5 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
EUROGP
2001
Springer
13 years 9 months ago
Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the S
In this paper, firstly we specialise the exact GP schema theorem for one-point crossover to the case of linear structures of variable length, for example binary strings or program...
Riccardo Poli, Nicholas Freitag McPhee
EH
2003
IEEE
90views Hardware» more  EH 2003»
13 years 10 months ago
Evolving Sinusoidal Oscillators Using Genetic Algorithms
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
Varun Aggarwal
ECAL
1995
Springer
13 years 8 months ago
Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms
In this paper we investigate the phenomenon of multi-parent reproduction, i.e. we study recombination mechanisms where an arbitrary n > 1 number of parents participate in creati...
A. E. Eiben, Cees H. M. van Kemenade, Joost N. Kok
GECCO
2009
Springer
13 years 12 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...