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» On Genetic Algorithms and Lindenmayer Systems
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BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
15 years 6 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 10 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
IJISTA
2007
119views more  IJISTA 2007»
15 years 6 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...
ICRA
2005
IEEE
90views Robotics» more  ICRA 2005»
15 years 12 months ago
Genetic Optimization and Simulation of a Piezoelectric Pipe-Crawling Inspection Robot
- Using the Darwin2k development software, a genetic algorithm (GA) was used to design and optimize a pipecrawling robot for parameters such as mass, power consumption, and joint e...
Geoffrey Hollinger, Jeri Briscoe