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» Removing the Genetics from the Standard Genetic Algorithm
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BMCBI
2005
98views more  BMCBI 2005»
14 years 9 months ago
InterferenceAnalyzer: Tools for the analysis and simulation of multi-locus genetic data
Background: Good statistical models for analyzing and simulating multilocus recombination data exist but are not accessible to many biologists because their use requires reasonabl...
Lalitha Viswanath, Elizabeth A. Housworth
TREC
2003
14 years 11 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 2 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
PPSN
1994
Springer
15 years 2 months ago
Genetic L-System Programming
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
Christian Jacob