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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 5 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
166
Voted
MEMETIC
2010
311views more  MEMETIC 2010»
14 years 8 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
ICTAI
2007
IEEE
15 years 8 months 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...
FUZZIEEE
2007
IEEE
15 years 8 months ago
Decoding Trace Peak Behaviour - A Neuro-Fuzzy Approach
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. This has...
David Thornley, Stavros Petridis
BMCBI
2006
149views more  BMCBI 2006»
15 years 2 months ago
Identification of biomarkers from mass spectrometry data using a "common" peak approach
Background: Proteomic data obtained from mass spectrometry have attracted great interest for the detection of early-stage cancer. However, as mass spectrometry data are high-dimen...
Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguch...