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» Methods for Evolving Robust Programs
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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 2 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
SAB
2010
Springer
147views Optimization» more  SAB 2010»
13 years 7 months ago
Fractal Gene Regulatory Networks for Robust Locomotion Control of Modular Robots
Designing controllers for modular robots is difficult due to the distributed and dynamic nature of the robots. In this paper fractal gene regulatory networks are evolved to control...
Payam Zahadat, David Johan Christensen, Ulrik Pagh...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 3 months ago
Using group selection to evolve leadership in populations of self-replicating digital organisms
This paper describes a study in the evolution of distributed cooperative behavior, specifically leader election, through digital evolution and group selection. In digital evoluti...
David B. Knoester, Philip K. McKinley, Charles Ofr...
CISIS
2008
IEEE
14 years 3 months ago
Evolving Turbo Code Interleavers by Genetic Algorithms
Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes gave a new direction for the channel encoding field, especially since they were adopted for mult...
Ajith Abraham, Pavel Krömer, Václav Sn...