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» Test generation to expose changes in evolving programs
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 4 days ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
CEC
2007
IEEE
13 years 10 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
GECCO
2009
Springer
14 years 1 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
OTM
2005
Springer
14 years 7 days ago
An XML-Based Cross-Language Framework
Abstract. We introduce XMLVM, a Turing complete XML-based programming language based on a stack-based, virtual machine. We show how XMLVM can automatically be created from Java cla...
Arno Puder
ISVC
2010
Springer
13 years 5 months ago
Visual Network Analysis of Dynamic Metabolic Pathways
We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulat...
Markus Rohrschneider, Alexander Ullrich, Andreas K...