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» An evolutionary method for complex-process optimization
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BMCBI
2006
130views more  BMCBI 2006»
15 years 14 days ago
Docking protein domains in contact space
Background: Many biological processes involve the physical interaction between protein domains. Understanding these functional associations requires knowledge of the molecular str...
Stefano Lise, Alice Walker-Taylor, David T. Jones
131
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CEC
2011
IEEE
14 years 11 days ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
15 years 5 months ago
Evolving viral marketing strategies
One method of viral marketing involves seeding certain consumers within a population to encourage faster adoption of the product throughout the entire population. However, determi...
Forrest Stonedahl, William Rand, Uri Wilensky
99
Voted
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 6 months ago
On the runtime analysis of the 1-ANT ACO algorithm
The runtime analysis of randomized search heuristics is a growing field where, in the last two decades, many rigorous results have been obtained. These results, however, apply pa...
Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carst...
118
Voted
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 6 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden