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» Evolving heuristics with genetic programming
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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 4 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 11 months ago
Genetic programming with polymorphic types and higher-order functions
This article introduces our new approach to program representation for genetic programming (GP). We replace the usual s-expression representation scheme by a strongly-typed ion-ba...
Franck Binard, Amy P. Felty
ITSSA
2006
116views more  ITSSA 2006»
13 years 10 months ago
A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
: This article proposes a new method for creating test software for object-oriented systems using a genetic programming approach. It is believed that this approach is advantageous ...
Arjan Seesing, Hans-Gerhard Groß
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 7 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 3 months ago
Automated re-invention of six patented optical lens systems using genetic programming
This paper describes how genetic programming was used as an invention machine to automatically synthesize complete designs for six optical lens systems that duplicated the functio...
John R. Koza, Sameer H. Al-Sakran, Lee W. Jones