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» Inverse Design of Cellular Automata by Genetic Algorithms: A...
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UPP
2004
Springer
13 years 9 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
UC
2005
Springer
13 years 9 months ago
Using Genetic Algorithms to Evolve Behavior in Cellular Automata
Abstract. It is an unconventional computation approach to evolve solutions instead of calculating them. Although using evolutionary computation in computer science dates back to th...
Thomas Bäck, Ron Breukelaar
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 4 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
IJON
2006
127views more  IJON 2006»
13 years 3 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
PPSN
1994
Springer
13 years 7 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