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GECCO
2003
Springer
14 years 1 months ago
What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes
Abstract. This paper provides an empirical test of a hypothesis, which describes the effects of structural mechanisms in genetic programming. In doing so, the paper offers a test p...
Jason M. Daida, Hsiaolei Li, Ricky Tang, Adam M. H...
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 1 months ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori
CONTEXT
2001
Springer
14 years 24 days ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds
PPSN
1998
Springer
14 years 15 days ago
Methods to Evolve Legal Phenotypes
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
Tina Yu, Peter J. Bentley
EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
14 years 5 days ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom