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ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
15 years 2 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker
FOGA
1990
14 years 10 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
PPSN
2004
Springer
15 years 2 months ago
Multi-cellular Development: Is There Scalability and Robustness to Gain?
Evolving large phenotypes remains nowadays a problem due to the combinatorial explosion of the search space. Seeking better scalability and inspired by the development of biologica...
Daniel Roggen, Diego Federici
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 1 months ago
When lisp is faster than C
This paper compares the performance of the program evaluation phase of genetic programming using C and Common Lisp. A simple experiment is conducted, and the conclusion is that ge...
Børge Svingen
GECCO
2007
Springer
293views Optimization» more  GECCO 2007»
15 years 3 months ago
Solving the artificial ant on the Santa Fe trail problem in 20, 696 fitness evaluations
In this paper, we provide an algorithm that systematically considers all small trees in the search space of genetic programming. These small trees are used to generate useful subr...
Steffen Christensen, Franz Oppacher