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115
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CPHYSICS
2006
204views more  CPHYSICS 2006»
15 years 23 days ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 4 months ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli
88
Voted
GECCO
2003
Springer
15 years 6 months ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
15 years 7 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
GECCO
2005
Springer
15 years 6 months ago
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm
Mobile ad hoc networks are typically designed and evaluated in generic simulation environments. However the real conditions in which these networks are deployed can be quite diff...
David J. Montana, Jason Redi