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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
13 years 11 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 9 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
BMCBI
2006
117views more  BMCBI 2006»
13 years 6 months ago
Gene Designer: a synthetic biology tool for constructing artificial DNA segments
Background: Direct synthesis of genes is rapidly becoming the most efficient way to make functional genetic constructs and enables applications such as codon optimization, RNAi re...
Alan Villalobos, Jon E. Ness, Claes Gustafsson, Je...
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
13 years 11 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
ICSM
2003
IEEE
13 years 11 months ago
Library Miniaturization Using Static and Dynamic Information
Moving to smaller libraries can be considered as a relevant task when porting software systems to limited-resource devices (e.g., hand-helds). Library miniaturization will be part...
Giuliano Antoniol, Massimiliano Di Penta