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GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 7 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
CEC
2007
IEEE
15 years 10 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
136
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GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
15 years 9 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
169
Voted
AIPRF
2008
15 years 5 months ago
Internal vs. External Parameters in Fitness Functions
A fitness function is needed for a Genetic Algorithm (GA) to work, and it appears natural that the combination of objectives and constraints into a single scalar function using ar...
Pedro A. Diaz-Gomez, Dean F. Hougen
ICSE
2009
IEEE-ACM
16 years 5 months ago
Automatically finding patches using genetic programming
Automatic repair of programs has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locati...
Westley Weimer, ThanhVu Nguyen, Claire Le Goues, S...