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Anne Auger
2010 – today
- 2012
[j7]Anne Auger, Carsten Witt: Theory of Randomized Search Heuristics. Algorithmica 64(4): 621-622 (2012)
[j6]Anne Auger, Nikolaus Hansen, Marc Schoenauer: Benchmarking of Continuous Black Box Optimization Algorithms. Evolutionary Computation 20(4): 481 (2012)
[j5]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler: Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theor. Comput. Sci. 425: 75-103 (2012)
[c52]Dimo Brockhoff, Anne Auger, Nikolaus Hansen: On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2012: 277-284
[c51]Dimo Brockhoff, Anne Auger, Nikolaus Hansen: On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed. GECCO (Companion) 2012: 285-290
[c50]Dimo Brockhoff, Anne Auger, Nikolaus Hansen: On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed. GECCO (Companion) 2012: 291-296
[c49]Dimo Brockhoff, Anne Auger, Nikolaus Hansen: Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2012: 297-304
[c48]Anne Auger, Nikolaus Hansen: Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2012: 827-848
[c47]Youhei Akimoto, Anne Auger, Nikolaus Hansen: Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions. PPSN (1) 2012: 42-51
[c46]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen: Cumulative Step-Size Adaptation on Linear Functions. PPSN (1) 2012: 72-81
[i7]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen: Cumulative Step-size Adaptation on Linear Functions. CoRR abs/1206.1208 (2012)
[i6]Youhei Akimoto, Anne Auger, Nikolaus Hansen: Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions. CoRR abs/1206.4968 (2012)
[i5]Zyed Bouzarkouna, Didier Yu Ding, Anne Auger: Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood. CoRR abs/1209.0616 (2012)
[i4]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen: Cumulative Step-size Adaptation on Linear Functions. CoRR abs/1212.0139 (2012)- 2011
[j4]Mohamed Jebalia, Anne Auger, Nikolaus Hansen: Log-Linear Convergence and Divergence of the Scale-Invariant (1+1)-ES in Noisy Environments. Algorithmica 59(3): 425-460 (2011)
[j3]Nikolaus Hansen, Raymond Ros, Nikolas Mauny, Marc Schoenauer, Anne Auger: Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems. Appl. Soft Comput. 11(8): 5755-5769 (2011)
[c45]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. FOGA 2011: 127-138
[c44]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Mirrored sampling in evolution strategies with weighted recombination. GECCO 2011: 861-868
[c43]Zyed Bouzarkouna, Anne Auger, Didier Yu Ding: Local-meta-model CMA-ES for partially separable functions. GECCO 2011: 869-876
[c42]Nikolaus Hansen, Anne Auger: CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2011: 991-1010- 2010
[j2]Anne Auger, Olivier Teytaud: Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms. Algorithmica 57(1): 121-146 (2010)
[c41]Zyed Bouzarkouna, Anne Auger, Didier Yu Ding: Investigating the Local-Meta-Model CMA-ES for Large Population Sizes. EvoApplications (1) 2010: 402-411
[c40]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1543-1550
[c39]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1551-1558
[c38]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1559-1566
[c37]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1575-1582
[c36]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1583-1590
[c35]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1591-1596
[c34]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1597-1604
[c33]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1605-1610
[c32]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1611-1616
[c31]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1617-1624
[c30]Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1625-1632
[c29]Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen Finck, Petr Posík: Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009. GECCO (Companion) 2010: 1689-1696
[c28]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm: Mirrored Sampling and Sequential Selection for Evolution Strategies. PPSN (1) 2010: 11-21
[c27]Mohamed Jebalia, Anne Auger: Log-Linear Convergence of the Scale-Invariant (µ/µw, lambda)-ES and Optimal µ for Intermediate Recombination for Large Population Sizes. PPSN (1) 2010: 52-62
[c26]Anne Auger, Johannes Bader, Dimo Brockhoff: Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives. PPSN (1) 2010: 586-596
[i3]Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer: Experimental Comparisons of Derivative Free Optimization Algorithms. CoRR abs/1005.5631 (2010)
[i2]Zyed Bouzarkouna, Didier Yu Ding, Anne Auger: Using Evolution Strategy with Meta-models for Well Placement Optimization. CoRR abs/1011.5481 (2010)
2000 – 2009
- 2009
[c25]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler: Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point. FOGA 2009: 87-102
[c24]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler: Articulating user preferences in many-objective problems by sampling the weighted hypervolume. GECCO 2009: 555-562
[c23]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler: Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. GECCO 2009: 563-570
[c22]Anne Auger: Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed. GECCO (Companion) 2009: 2447-2452
[c21]Anne Auger: Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed. GECCO (Companion) 2009: 2453-2458
[c20]Anne Auger, Nikolaus Hansen: Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed. GECCO (Companion) 2009: 2459-2466
[c19]Anne Auger, Nikolaus Hansen: Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed. GECCO (Companion) 2009: 2467-2472
[c18]Anne Auger, Raymond Ros: Benchmarking the pure random search on the BBOB-2009 testbed. GECCO (Companion) 2009: 2479-2484
[c17]Anne Auger, Raymond Ros: Benchmarking the pure random search on the BBOB-2009 noisy testbed. GECCO (Companion) 2009: 2485-2490
[c16]Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer: Experimental Comparisons of Derivative Free Optimization Algorithms. SEA 2009: 3-15
[i1]Cyril Furtlehner, Jean-Marc Lasgouttes, Anne Auger: Learning Multiple Belief Propagation Fixed Points for Real Time Inference. CoRR abs/0903.4860 (2009)- 2008
[c15]Anne Auger, Nikolaus Hansen: Evolution strategies and related estimation of distribution algorithms. GECCO (Companion) 2008: 2727-2740
[c14]- 2007
[c13]Mohamed Jebalia, Anne Auger, Pierre Liardet: Log-Linear Convergence and Optimal Bounds for the (1+1)-ES. Artificial Evolution 2007: 207-218
[c12]Olivier Teytaud, Anne Auger: On the adaptation of noise level for stochastic optimization. IEEE Congress on Evolutionary Computation 2007: 3027-3034
[c11]Mohamed Jebalia, Anne Auger, Marc Schoenauer, F. James, M. Postel: Identification of the isotherm function in chromatography using CMA-ES. IEEE Congress on Evolutionary Computation 2007: 4289-4296
[c10]- 2006
[c9]Anne Auger, Nikolaus Hansen: Reconsidering the progress rate theory for evolution strategies in finite dimensions. GECCO 2006: 445-452
[c8]Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos: When Do Heavy-Tail Distributions Help? PPSN 2006: 62-71- 2005
[j1]Anne Auger: Convergence results for the (1, lambda)-SA-ES using the theory of phi-irreducible Markov chains. Theor. Comput. Sci. 334(1-3): 35-69 (2005)
[c7]Anne Auger, Mohamed Jebalia, Olivier Teytaud: Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies. Artificial Evolution 2005: 296-307
[c6]Anne Auger, Nikolaus Hansen: A restart CMA evolution strategy with increasing population size. Congress on Evolutionary Computation 2005: 1769-1776
[c5]Anne Auger, Nikolaus Hansen: Performance evaluation of an advanced local search evolutionary algorithm. Congress on Evolutionary Computation 2005: 1777-1784
[c4]Anne Auger, Marc Schoenauer, Olivier Teytaud: Local and global order 3/2 convergence of a surrogate evolutionary algorithm. GECCO 2005: 857-864- 2004
[c3]Anne Auger, Marc Schoenauer, Nicolas Vanhaecke: LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation. PPSN 2004: 182-191- 2003
[c2]Miguel Nicolau, Anne Auger, Conor Ryan: Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System. Artificial Evolution 2003: 15-26
[c1]Anne Auger, Claude Le Bris, Marc Schoenauer: Dimension-Independent Convergence Rate for Non-isotropic (1, lambda) - ES. GECCO 2003: 512-524
Coauthor Index
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last updated on 2013-01-03 22:14 CET by the dblp team



