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GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
14 years 5 months ago
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Abstract Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive)...
Wei Yan, Christopher D. Clack
ITCC
2005
IEEE
14 years 4 months ago
Pareto-Optimal Hardware for Substitution Boxes
: In this paper, we propose a methodology based on genetic programming to automatically generate hardware designs of substitution boxes necessary for many cryptosystems such as DES...
Nadia Nedjah, Luiza de Macedo Mourelle
IFIP
2004
Springer
14 years 4 months ago
Solving Geometrical Place Problems by using Evolutionary Algorithms
Geometrical place can be sometimes difficult to find by applying mathematical methods. Evolutionary algorithms deal with a population of solutions. This population (initially ran...
Crina Grosan
GECCO
2003
Springer
14 years 4 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 4 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