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» Evolutionary Algorithms for the Satisfiability Problem
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137
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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 8 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
GCB
2000
Springer
137views Biometrics» more  GCB 2000»
15 years 7 months ago
Detecting Sporadic Recombination in DNA Alignments with Hidden Markov Models
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
Dirk Husmeier, Frank Wright
116
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SPIRE
2000
Springer
15 years 7 months ago
Virtual Test Tubes: A New Methodology for Computing
Biomolecular computing (BMC) aims to capture the innumerable advantages that biological molecules have gained in the course of millions of years of evolution to perform computatio...
Max H. Garzon, Evan Drumwright, Russell J. Deaton,...
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
15 years 6 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
15 years 5 months ago
Soft computing in investment appraisal
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
Antoaneta Serguieva, John Hunter, Tatiana Kalganov...