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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
14 years 1 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
14 years 1 months ago
A combinatorial genetic algorithm for the configuration of the 2dF/AAOmega spectrograph at the anglo-Australian observatory
To help unravel the structure of the universe, astronomers have developed systems which observe large clusters of objects at the same time. One such system is the 2-degree field s...
Steven Manos, Geraint Lewis
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
14 years 1 months ago
Fluctuating crosstalk, deterministic noise, and GA scalability
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
Paul Winward, David E. Goldberg
EUROGP
2008
Springer
13 years 11 months ago
PlasmidPL: A Plasmid-Inspired Language for Genetic Programming
We present PlasmidPL, a plasmid-inspired programming language designed for Genetic Programming (GP), and based on a chemical metaphor. The basic data structures in PlasmidPL are ci...
Lidia Yamamoto
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 10 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan