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» Evolutionary Algorithms for the Satisfiability Problem
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GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 7 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
114
Voted
ISSTA
2004
ACM
15 years 7 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 7 months ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
CORR
2004
Springer
87views Education» more  CORR 2004»
15 years 1 months ago
Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...
Matthew J. Berryman, Wei-Li Khoo, Hiep Nguyen, Eri...
CORR
2002
Springer
133views Education» more  CORR 2002»
15 years 1 months ago
Sequential and Parallel Algorithms for Mixed Packing and Covering
We describe sequential and parallel algorithms that approximately solve linear programs with no negative coefficients (a.k.a. mixed packing and covering problems). For explicitly ...
Neal E. Young