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GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
16 years 23 days ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
186
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KBSE
1997
IEEE
15 years 10 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
16 years 1 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
15 years 6 months ago
Lexicographic perturbation for multiparametric linear programming with applications to control
Optimal control problems for constrained linear systems with a linear cost can be posed as multiparametric linear programs with a parameter in the cost, or equivalently the right-...
Colin Neil Jones, Eric C. Kerrigan, Jan M. Maciejo...
COR
2006
86views more  COR 2006»
15 years 6 months ago
Minimizing the earliness-tardiness costs on a single machine
In this paper the one-machine scheduling problem with linear earliness and tardiness costs is considered. The7 cost functions are job dependent and asymmetric. The problem consist...
Jakub Bauman, Joanna Józefowska