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» A GP neutral function for the artificial ANT problem
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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 9 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
13 years 11 months ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska
CEC
2011
IEEE
12 years 5 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
13 years 11 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
EUROGP
1998
Springer
113views Optimization» more  EUROGP 1998»
13 years 9 months ago
Fitness Causes Bloat: Mutation
The problem of evolving, using mutation, an artificial ant to follow the Santa Fe trail is used to study the well known genetic programming feature of growth in solution length. Kn...
William B. Langdon, Riccardo Poli