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» Introduction to genetic programming
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ICTAI
2009
IEEE
15 years 4 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
78
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GECCO
2005
Springer
15 years 3 months ago
Function choice, resiliency and growth in genetic programming
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functio...
Sireesha Besetti, Terence Soule
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 1 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
154
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Book
515views
16 years 7 months ago
A Gentle Introduction to TEX: A Manual for Self-study
"First the bad news: TEX is a large and complicated program that goes to extraordinary lengths to produce attractive typeset material. This very complication can cause unexpe...
Michael Doob
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
15 years 2 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert