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» Evolutionary testing of classes
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ACMSE
2005
ACM
15 years 9 months ago
Facilitating and automating empirical evaluation
Through the automation of empirical evaluation we hope to alleviate evaluation problems encountered by software designers who are relatively new to the process. Barriers to good e...
Laurian Hobby, John Booker, D. Scott McCrickard, C...
206
Voted
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
15 years 4 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
TITS
2002
103views more  TITS 2002»
15 years 3 months ago
Artificial vision in extreme environments for snowcat tracks detection
This paper describes the image processing techniques designed to localize the tracks of snowcats for the automation of transportation of goods and people during the Italian scienti...
Alberto Broggi, Alessandra Fascioli
CEC
2010
IEEE
15 years 1 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
ICFP
2009
ACM
15 years 10 months ago
Finding race conditions in Erlang with QuickCheck and PULSE
We address the problem of testing and debugging concurrent, distributed Erlang applications. In concurrent programs, race conditions are a common class of bugs and are very hard t...
Koen Claessen, Michal Palka, Nicholas Smallbone, J...