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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 3 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
ICRA
1998
IEEE
147views Robotics» more  ICRA 1998»
15 years 4 months ago
Biologically Inspired Robot Grasping Using Genetic Programming
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
Jaime J. Fernandez, Ian D. Walker
WSMAI
2003
15 years 1 months ago
Fuzzy Inferencing in the Web Page Layout Design
The Web page layout design is a complex and ill-structured problem where the evolving tasks, inadequate information processing capabilities, cognitivebiasesand socio-emotionalfacet...
Abdul Rahim Ahmad, Otman A. Basir, Khaled Hassanei...
PRL
2002
128views more  PRL 2002»
14 years 11 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 12 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith