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EPS
1998
Springer
14 years 1 months ago
A Genetic Programming Methodology for Missile Countermeasures Optimization Under Uncertainty
: This paper describes a new methodology for using genetic programming to solve the missile countermeasures optimization problem. The resulting system evolves programs that combine...
Frank W. Moore, Oscar N. Garcia
ITSSA
2006
116views more  ITSSA 2006»
13 years 9 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
109views Optimization» more  GECCO 2009»
14 years 3 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 2 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 6 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