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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 1 months ago
Goal-oriented preservation of essential genetic information by offspring selection
This contribution proposes an enhanced and generic selection model for Genetic Algorithms (GAs) and Genetic Programming (GP) which is able to preserve the alleles which are part o...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
APIN
1998
98views more  APIN 1998»
13 years 7 months ago
The Evolution of Concurrent Programs
Process algebra are formal languages used for the rigorous specification and analysis of concurrent systems. By using a process algebra as the target language of a genetic program...
Brian J. Ross
EH
2004
IEEE
107views Hardware» more  EH 2004»
13 years 11 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller