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GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 1 months ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
14 years 2 months ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 1 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
EOR
2007
101views more  EOR 2007»
13 years 7 months ago
Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms
Heavy industry maintenance facilities at aircraft service centers or railroad yards must contend with scheduling preventive maintenance tasks to ensure critical equipment remains ...
Gang Quan, Garrison W. Greenwood, Donglin Liu, Xia...