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» Seeding Genetic Programming Populations
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 months ago
Dormant program nodes and the efficiency of genetic programming
In genetic programming, there is a tendency for individuals in a population to accumulate fragments of code – often called introns – which are redundant in the fitness evaluat...
David Jackson
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
14 years 1 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
AE
2003
Springer
14 years 27 days ago
A Study of Diversity in Multipopulation Genetic Programming
In this work we study how using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable geno...
Marco Tomassini, Leonardo Vanneschi, Francisco Fer...
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
14 years 14 days ago
Evolving viral marketing strategies
One method of viral marketing involves seeding certain consumers within a population to encourage faster adoption of the product throughout the entire population. However, determi...
Forrest Stonedahl, William Rand, Uri Wilensky
GECCO
1999
Springer
103views Optimization» more  GECCO 1999»
13 years 12 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...