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TNN
1998
76views more  TNN 1998»
15 years 4 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 10 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
1999
Springer
148views Optimization» more  GECCO 1999»
15 years 9 months ago
An Analysis of Automatic Subroutine Discovery in Genetic Programming
This paper analyses Rosca's ARL as a general framework for automatic subroutine discovery. We review and compare a number of heuristics for code selection, and experimentally...
Antonello Dessi, Antonella Giani, Antonina Starita
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
15 years 9 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
15 years 8 months ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas