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Issue Date
Title
Author(s)
2015
Maximizing submodular functions under matroid constraints by evolutionary algorithms
Friedrich, T.
;
Neumann, F.
2013
Approximation algorithms for fault tolerant facility allocation
Shen, H.
;
Xu, S.
2009
On the effects of adding objectives to plateau functions
Brockhoff, D.
;
Friedrich, T.
;
Hebbinghaus, N.
;
Klein, C.
;
Neumann, F.
;
Zitzler, E.
2012
Computational complexity analysis of multi-objective genetic programming
Neumann, F.
;
Soule, T.
;
Genetic and Evolutionary Computation Conference (14th : 2012 : Philadelphia, Pennsylvania)
2011
Computational Complexity Analysis of Genetic Programming - Initial Results and Future Directions
Neumann, F.
;
O'Reilly, U.
;
Wagner, M.
;
Riolo, R.
;
Vladislavleva, E.
;
Moore, J.
2012
The max problem revisited: the importance of mutation in genetic programming
Kotzing, T.
;
Sutton, A.
;
Neumann, F.
;
O'Reilly, U.
;
Soule, T.
;
Genetic and Evolutionary Computation Conference (14th : 2012 : Philadelphia, Pennsylvania)
2012
A parameterized runtime analysis of evolutionary algorithms for MAX-2-SAT
Sutton, A.
;
Day, J.
;
Neumann, F.
;
Soule, T.
;
Genetic and Evolutionary Computation Conference (14th : 2012 : Philadelphia, Pennsylvania)
2011
PAC learning and genetic programming
Kotzing, T.
;
Neumann, F.
;
Spohel, R.
;
Krasnogor, N.
;
Genetic and Evolutionary Computation Conference (13th : 2011 : Dublin, Ireland)
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Author
7
Neumann, F.
3
Genetic and Evolutionary Computat...
3
Soule, T.
2
Friedrich, T.
2
Kotzing, T.
2
O'Reilly, U.
2
Sutton, A.
1
Brockhoff, D.
1
Day, J.
1
Genetic and Evolutionary Computat...
.
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Subject
4
Genetic programming
4
runtime analysis
2
mutation
1
algorithms
1
approximation
1
approximation algorithms
1
Combinatoria optimization
1
computational complexity analysis
1
facility location
1
hypervolume indicator
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