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» Seeding Genetic Programming Populations
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
CEC
2010
IEEE
12 years 11 months ago
A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment
— Efficient vehicle path planning in hostile environment to carry out rescue or tactical logistic missions remains very challenging. Most approaches reported so far relies on key...
Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, A...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
AISB
1997
Springer
13 years 12 months ago
Modelling Bounded Rationality Using Evolutionary Techniques
A technique for the credible modelling of economic agents with bounded rationality based on the evolutionary techniques is described. The genetic programming paradigm is most suite...
Bruce Edmonds, Scott Moss
ALIFE
2011
12 years 11 months ago
Interactive Evolution of Camouflage
This paper presents an abstract computation model of the evolution of camouflage in nature. The 2d model uses evolved textures for prey, a background texture representing the envi...
Craig Reynolds