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EOR
2008
106views more  EOR 2008»
13 years 11 months ago
Global and local real-coded genetic algorithms based on parent-centric crossover operators
Parent-centric real-parameter crossover operators create the offspring in the neighbourhood of one of the parents, the female parent. The other parent, the male one, defines the r...
Carlos García-Martínez, Manuel Lozan...
EUROGP
2003
Springer
14 years 4 months ago
The Root Causes of Code Growth in Genetic Programming
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
Matthew J. Streeter
CEC
2005
IEEE
14 years 4 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
14 years 5 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 5 months ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector