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GECCO
2000
Springer
178views Optimization» more  GECCO 2000»
13 years 10 months ago
Fitness Sharing in Genetic Programming
This paper investigates fitness sharing in genetic programming. Implicit fitness sharing is applied to populations of programs. Three treatments are compared: raw fitness, pure fi...
Robert I. McKay
APIN
2000
120views more  APIN 2000»
13 years 6 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano
SOCO
2010
Springer
13 years 1 months ago
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm
In this paper, a diversity generating mechanism is proposed for an Evolutionary Programming (EP) algorithm that determines the basic structure of Multilayer Perceptron classifiers ...
Pedro Antonio Gutiérrez, César Herv&...
GECCO
2005
Springer
14 years 12 days ago
Probing for limits to building block mixing with a tunably-difficult problem for genetic programming
This paper describes a tunably-difficult problem for genetic programming (GP) that probes for limits to building block mixing and assembly. The existence of such a problem can be ...
Jason M. Daida, Michael E. Samples, Matthew J. Byo...
GECCO
2003
Springer
14 years 5 days ago
Visualizing Tree Structures in Genetic Programming
This paper presents methods to visualize the structure of trees that occur in genetic programming. These methods allow for the inspection of structure of entire trees of arbitrary ...
Jason M. Daida, Adam M. Hilss, David J. Ward, Step...