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» An Introduction to Evolutionary Programming
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ENGL
2007
121views more  ENGL 2007»
14 years 9 months ago
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
Raymond Chiong, Ooi Koon Beng
KBSE
2007
IEEE
15 years 3 months ago
Evacon: a framework for integrating evolutionary and concolic testing for object-oriented programs
Achieving high structural coverage such as branch coverage in objectoriented programs is an important and yet challenging goal due to two main challenges. First, some branches inv...
Kobi Inkumsah, Tao Xie
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 2 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
CACM
2010
105views more  CACM 2010»
14 years 9 months ago
Automatic program repair with evolutionary computation
Therearemanymethodsfordetectingandmitigatingsoftware errors but few generic methods for automatically repairing errors once they are discovered. This paper highlights recent work ...
Westley Weimer, Stephanie Forrest, Claire Le Goues...