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ACIVS
2009
Springer
14 years 10 hour ago
Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
Abstract. Computer vision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task...
Marc Ebner
CPHYSICS
2006
204views more  CPHYSICS 2006»
13 years 7 months 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
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule
ECOOP
2005
Springer
14 years 27 days ago
Pitfalls in Unanticipated Dynamic Software Evolution
Abstract. The authors of this paper have all developed a framework that allows runtime adaptation of software systems. Based on our experiences, we wish to summarize common pitfall...
Peter Ebraert, Theo D'Hondt, Yves Vandewoude, Yola...
COR
2008
164views more  COR 2008»
13 years 7 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano