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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 10 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
ENGL
2007
121views more  ENGL 2007»
13 years 9 months ago
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
Raymond Chiong, Ooi Koon Beng
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
Kwong-Sak Leung, Yong Liang
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 10 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
GECCO
2003
Springer
14 years 2 months ago
Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm
Phylogenetics has gained in public favor for the analysis of DNA sequence data as molecular biology has advanced. Among a number of algorithms for phylogenetics, the fastDNAml is c...
Yong-Hyuk Kim, Seung-Kyu Lee, Byung Ro Moon