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GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 3 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding

Lecture Notes
443views
16 years 9 months ago
Design and Analysis of Computer Algorithms
"This course will consist of a number of major sections. The first will be a short review of some preliminary material, including asymptotics, summations, and recurrences and ...
David M. Mount
ICPR
2008
IEEE
16 years 7 days ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
15 years 3 days ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 2 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste