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GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
14 years 2 days 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. ...
ICST
2011
IEEE
13 years 2 months ago
It is Not the Length That Matters, It is How You Control It
—The length of test cases is a little investigated topic in search-based test generation for object oriented software, where test cases are sequences of method calls. While intui...
Gordon Fraser, Andrea Arcuri
GECCO
2011
Springer
232views Optimization» more  GECCO 2011»
13 years 2 months ago
Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis
When the epistasis of the fitness function is bounded by a constant, we show that the expected fitness of an offspring of the (1+1)-EA can be efficiently computed for any point...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 5 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
14 years 2 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein