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EPS
1997
Springer
14 years 28 days ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu
DDECS
2006
IEEE
140views Hardware» more  DDECS 2006»
14 years 14 days ago
A Core Generator for Multi-ALU Processors Utilized in Genetic Parallel Programming
Abstract-- Genetic Parallel Programming (GPP) evolves parallel programs for MIMD architectures with multiple arithmetic/logic processors (MAPs). This paper describes a tool intende...
Zbysek Gajda
GECCO
1999
Springer
103views Optimization» more  GECCO 1999»
14 years 1 months ago
Homologous Crossover in Genetic Programming
In recent years, the genetic programming crossover operator has been criticized on both theoretical and empirical grounds. This paper introduces a new crossover operator for linea...
Frank D. Francone, Markus Conrads, Wolfgang Banzha...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 9 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
PPSN
1994
Springer
14 years 26 days ago
A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
Mark Wineberg, Franz Oppacher