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GPEM
2002
145views more  GPEM 2002»
13 years 6 months ago
An Analysis of the Causes of Code Growth in Genetic Programming
Abstract. This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift...
Terence Soule, Robert B. Heckendorn
IE
2007
13 years 8 months ago
Evolving images for entertainment
Images are widely used in media contexts such as web design, games and video animation. The process of creating interesting images can be enjoyable if a useful tool is involved. I...
Qinying Xu, Daryl J. D'Souza, Victor Ciesielski
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 26 days ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector
EUROGP
2006
Springer
135views Optimization» more  EUROGP 2006»
13 years 10 months ago
Dynamic Scheduling with Genetic Programming
This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics. The applied scheduling technique is priority scheduling, where the next st...
Domagoj Jakobovic, Leo Budin
ICCS
2004
Springer
14 years 2 days ago
Designing Digital Circuits for the Knapsack Problem
Abstract. Multi Expression Programming (MEP) is a Genetic Programming variant that uses linear chromosomes for solution encoding. A unique feature of MEP is its ability of encoding...
Mihai Oltean, Crina Grosan, Mihaela Oltean