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Issue Date
Title
Author(s)
2015
On the performance of different genetic programming approaches for the SORTING problem
Wagner, M.
;
Neumann, F.
;
Urli, T.
2015
Population size matters: rigorous runtime results for maximizing the hypervolume indicator
Nguyen, A.
;
Sutton, A.
;
Neumann, F.
2015
Multiplicative approximations, optimal hypervolume distributions, and the choice of the reference point
Friedrich, T.
;
Neumann, F.
;
Thyssen, C.
2016
Fast building block assembly by majority vote crossover
Friedrich, T.
;
Kötzing, T.
;
Krejca, M.
;
Nallaperuma, S.
;
Neumann, F.
;
Schirneck, M.
;
Friedrich, T.
;
Neumann, F.
;
Sutton, A.M.
;
2016 Genetic and Evolutionary Computation Conference (GECCO 2016) (20 Jul 2016 - 24 Jul 2016 : Denver, Colorado, USA)
2017
Speeding up evolutionary multi-objective optimisation through diversity-based parent selection
Osuna, E.
;
Neumann, F.
;
Gao, W.
;
Sudholt, D.
;
Bosman, P.A.N.
;
Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2017 - 19 Jul 2017 : Berlin, Germany)
2016
A Parameterised Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms
Corus, D.
;
Lehre, P.
;
Neumann, F.
;
Pourhassan, M.
2012
Editorial to the special issue on "Theoretical foundations of evolutionary computation"
Lehre, P.K.
;
Neumann, F.
;
Rowe, J.E.
2012
Theoretical analysis of two ACO approaches for the traveling salesman problem
Kotzing, T.
;
Neumann, F.
;
Roglin, H.
;
Witt, C.
2013
Weighted preferences in evolutionary multi-objective optimization
Friedrich, T.
;
Kroeger, T.
;
Neumann, F.
2011
Evolutionary algorithms and dynamic programming
Doerr, B.
;
Eremeev, A.
;
Neumann, F.
;
Theile, M.
;
Thyssen, C.
Discover
Author
27
Wagner, M.
20
Friedrich, T.
13
Nallaperuma, S.
11
Sutton, A.
9
Doerr, B.
9
Witt, C.
8
Kotzing, T.
8
Sudholt, D.
7
Branke, J.
7
Gao, W.
.
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Subject
6
Genetic programming
6
theory
5
runtime analysis
5
Theory
3
Ant Colony Optimization
3
Runtime Analysis
2
Algorithms
2
Approximation
2
Classification
2
Evolutionary Algorithms
.
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