2266 search results - page 347 / 454 » Evolutionary Algorithms for the Satisfiability Problem |
122
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
138
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
128
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
161
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GECCO
2010
Springer
15 years 8 months ago
2010
Springer
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
150
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...