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» On the Brittleness of Evolutionary Algorithms
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GECCO
2003
Springer
15 years 11 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
CEC
2009
IEEE
15 years 10 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 7 months ago
Co-optimization algorithms
While coevolution has many parallels to natural evolution, methods other than those based on evolutionary principles may be used in the interactive fitness setting. In this paper...
Travis C. Service, Daniel R. Tauritz
CEC
2007
IEEE
15 years 6 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
ICTAI
2007
IEEE
16 years 25 days ago
A Java-Based Distributed Genetic Algorithm Framework
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Gabi Escuela, Yudith Cardinale, Jorge Gonzá...