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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 27 days ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
14 years 27 days 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
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
14 years 25 days ago
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping
Evolutionary relationships among species can be represented by a phylogenetic tree and inferred by optimising some measure of fitness, such as the statistical likelihood of the t...
Leon Poladian
SEMWEB
2004
Springer
14 years 22 days ago
Top-k Query Evaluation for Schema-Based Peer-to-Peer Networks
Abstract. Increasing the number of peers in a peer-to-peer network usually increases the number of answers to a given query as well. While having more answers is nice in principle,...
Wolfgang Nejdl, Wolf Siberski, Uwe Thaden, Wolf-Ti...