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» Searching the Subsumption Lattice by a Genetic Algorithm
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ILP
2000
Springer
13 years 8 months ago
Searching the Subsumption Lattice by a Genetic Algorithm
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
Alireza Tamaddoni-Nezhad, Stephen Muggleton
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
13 years 9 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
13 years 5 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
13 years 10 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolving viral marketing strategies
One method of viral marketing involves seeding certain consumers within a population to encourage faster adoption of the product throughout the entire population. However, determi...
Forrest Stonedahl, William Rand, Uri Wilensky