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Andrew M. Sutton
Person information
- affiliation: University of Minnesota Duluth, MN, USA
- affiliation (former): University of Potsdam, HPI, Germany
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2020 – today
- 2024
- [j23]Brahim Aboutaib
, Andrew M. Sutton
:
The Influence of Noise on Multi-parent Crossover for an Island Model Genetic Algorithm. ACM Trans. Evol. Learn. Optim. 4(2): 11 (2024) - [c76]Brahim Aboutaib
, Andrew M. Sutton
:
Mixed Binomial Distributions for Binary Mutation Operators. GECCO 2024 - [i11]Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem. CoRR abs/2404.11496 (2024) - 2023
- [j22]Preethi Sankineni, Andrew M. Sutton
:
Symmetry Breaking for Voting Mechanisms. Evol. Comput. 31(3): 309-335 (2023) - [j21]Luke Branson, Andrew M. Sutton
:
Focused jump-and-repair constraint handling for fixed-parameter tractable graph problems closed under induced subgraphs. Theor. Comput. Sci. 951: 113719 (2023) - [c75]Luke Branson
, Andrew M. Sutton
, Xiankun Yan
:
Finding Antimagic Labelings of Trees by Evolutionary Search. FOGA 2023: 27-37 - [c74]Jack Kearney
, Frank Neumann
, Andrew M. Sutton
:
Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers. FOGA 2023: 96-104 - [c73]Per Kristian Lehre
, Andrew M. Sutton
:
Runtime Analysis with Variable Cost. GECCO 2023: 1611-1618 - [c72]Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems. NeurIPS 2023 - [i10]Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems. CoRR abs/2306.03409 (2023) - 2022
- [c71]Luke Branson, Andrew M. Sutton
:
Evolving labelings of graceful graphs. GECCO 2022: 195-203 - [c70]Brahim Aboutaib, Andrew M. Sutton:
The influence of noise on multi-parent crossover for an island model GA. GECCO 2022: 666-674 - [c69]Brahim Aboutaib, Andrew M. Sutton
:
Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms. PPSN (2) 2022: 555-568 - [i9]Luke Branson, Andrew M. Sutton
:
Focused Jump-and-Repair Constraint Handling for Fixed-Parameter Tractable Graph Problems. CoRR abs/2203.13877 (2022) - 2021
- [j20]Andrew M. Sutton
:
Fixed-Parameter Tractability of Crossover: Steady-State GAs on the Closest String Problem. Algorithmica 83(4): 1138-1163 (2021) - [j19]Andrew M. Sutton
, Carsten Witt
:
Lower Bounds on the Runtime of Crossover-Based Algorithms via Decoupling and Family Graphs. Algorithmica 83(10): 3180-3208 (2021) - [c68]Preethi Sankineni, Andrew M. Sutton
:
Symmetry Breaking for Voting Mechanisms. EvoCOP 2021: 185-201 - [c67]Luke Branson, Andrew M. Sutton
:
Focused jump-and-repair constraint handling for fixed-parameter tractable graph problems. FOGA 2021: 3:1-3:10 - [c66]Yue Xie, Aneta Neumann
, Frank Neumann, Andrew M. Sutton
:
Runtime analysis of RLS and the (1+1) EA for the chance-constrained knapsack problem with correlated uniform weights. GECCO 2021: 1187-1194 - [c65]Tobias Friedrich
, Frank Neumann
, Ralf Rothenberger
, Andrew M. Sutton
:
Solving Non-uniform Planted and Filtered Random SAT Formulas Greedily. SAT 2021: 188-206 - [i8]Yue Xie, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights. CoRR abs/2102.05778 (2021) - 2020
- [j18]Pietro S. Oliveto, Andrew M. Sutton
:
Theory of evolutionary computation - Special Issue Editorial. Theor. Comput. Sci. 832: 1-2 (2020) - [c64]Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. AAAI 2020: 1460-1467 - [c63]L. Darrell Whitley, Hernán E. Aguirre, Andrew M. Sutton
:
Understanding transforms of pseudo-boolean functions. GECCO 2020: 760-768 - [c62]Andrew M. Sutton
, L. Darrell Whitley:
Approximation Speed-Up by Quadratization on LeadingOnes. PPSN (2) 2020: 686-698 - [p3]Frank Neumann, Andrew M. Sutton
:
Parameterized Complexity Analysis of Randomized Search Heuristics. Theory of Evolutionary Computation 2020: 213-248 - [i7]Frank Neumann, Andrew M. Sutton:
Parameterized Complexity Analysis of Randomized Search Heuristics. CoRR abs/2001.05120 (2020)
2010 – 2019
- 2019
- [c61]Frank Neumann, Andrew M. Sutton:
Evolving Solutions to Community-Structured Satisfiability Formulas. AAAI 2019: 2346-2353 - [c60]Frank Neumann, Andrew M. Sutton
:
Runtime analysis of the (1 + 1) evolutionary algorithm for the chance-constrained knapsack problem. FOGA 2019: 147-153 - [c59]Benjamin Doerr, Andrew M. Sutton
:
When resampling to cope with noise, use median, not mean. GECCO 2019: 242-248 - [c58]L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós:
Next generation genetic algorithms. GECCO (Companion) 2019: 1113-1136 - [c57]Andrew M. Sutton
, Carsten Witt
:
Lower bounds on the runtime of crossover-based algorithms via decoupling and family graphs. GECCO 2019: 1515-1522 - [c56]Thomas Bläsius, Tobias Friedrich, Andrew M. Sutton
:
On the Empirical Time Complexity of Scale-Free 3-SAT at the Phase Transition. TACAS (1) 2019: 117-134 - [i6]Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. CoRR abs/1911.11451 (2019) - 2018
- [j17]Duc-Cuong Dang
, Tobias Friedrich
, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre
, Pietro S. Oliveto
, Dirk Sudholt, Andrew M. Sutton
:
Escaping Local Optima Using Crossover With Emergent Diversity. IEEE Trans. Evol. Comput. 22(3): 484-497 (2018) - [c55]Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton
:
Improving the run time of the (1 + 1) evolutionary algorithm with luby sequences. GECCO 2018: 301-308 - [c54]Václav Hasenöhrl, Andrew M. Sutton
:
On the runtime dynamics of the compact genetic algorithm on jump functions. GECCO 2018: 967-974 - [c53]L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós:
Next generation genetic algorithms. GECCO (Companion) 2018: 1039-1059 - [c52]Andrew M. Sutton
:
Crossover can simulate bounded tree search on a fixed-parameter tractable optimization problem. GECCO 2018: 1531-1538 - [c51]Frank Neumann
, Andrew M. Sutton
:
Runtime Analysis of Evolutionary Algorithms for the Knapsack Problem with Favorably Correlated Weights. PPSN (2) 2018: 141-152 - 2017
- [j16]Benjamin Doerr, Frank Neumann
, Andrew M. Sutton
:
Time Complexity Analysis of Evolutionary Algorithms on Random Satisfiable k-CNF Formulas. Algorithmica 78(2): 561-586 (2017) - [j15]Tobias Friedrich, Timo Kötzing, Martin S. Krejca
, Andrew M. Sutton
:
The Compact Genetic Algorithm is Efficient Under Extreme Gaussian Noise. IEEE Trans. Evol. Comput. 21(3): 477-490 (2017) - [c50]Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton:
Phase Transitions for Scale-Free SAT Formulas. AAAI 2017: 3893-3899 - [c49]Tobias Friedrich, Anton Krohmer, Ralf Rothenberger
, Thomas Sauerwald, Andrew M. Sutton
:
Bounds on the Satisfiability Threshold for Power Law Distributed Random SAT. ESA 2017: 37:1-37:15 - [c48]Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton
:
Resampling vs Recombination: a Statistical Run Time Estimation. FOGA 2017: 25-35 - [i5]Tobias Friedrich, Anton Krohmer, Ralf Rothenberger
, Thomas Sauerwald, Andrew M. Sutton:
Bounds on the Satisfiability Threshold for Power Law Distributed Random SAT. CoRR abs/1706.08431 (2017) - 2016
- [j14]Andrew M. Sutton
:
Superpolynomial Lower Bounds for the (1+1) EA on Some Easy Combinatorial Problems. Algorithmica 75(3): 507-528 (2016) - [j13]Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
:
Robustness of Ant Colony Optimization to Noise. Evol. Comput. 24(2): 237-254 (2016) - [j12]Mohsen Amini Salehi
, Jay Smith, Anthony A. Maciejewski
, Howard Jay Siegel, Edwin K. P. Chong, Jonathan Apodaca, Luis Diego Briceno, Timothy Renner, Vladimir Shestak, Joshua Ladd, Andrew M. Sutton
, David L. Janovy, Sudha Govindasamy, Amin Alqudah
, Rinku Dewri, Puneet Prakash:
Stochastic-based robust dynamic resource allocation for independent tasks in a heterogeneous computing system. J. Parallel Distributed Comput. 97: 96-111 (2016) - [c47]Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton
:
Ant Colony Optimization Beats Resampling on Noisy Functions. GECCO (Companion) 2016: 3-4 - [c46]Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
:
The Benefit of Recombination in Noisy Evolutionary Search. GECCO (Companion) 2016: 161-162 - [c45]Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto
, Dirk Sudholt, Andrew M. Sutton
:
Escaping Local Optima with Diversity Mechanisms and Crossover. GECCO 2016: 645-652 - [c44]Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
:
Graceful Scaling on Uniform Versus Steep-Tailed Noise. PPSN 2016: 761-770 - [c43]Tobias Friedrich, Timo Kötzing, Andrew M. Sutton
:
On the Robustness of Evolving Populations. PPSN 2016: 771-781 - [c42]Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto
, Dirk Sudholt, Andrew M. Sutton
:
Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. PPSN 2016: 890-900 - [e2]Tobias Friedrich, Frank Neumann, Andrew M. Sutton:
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20 - 24, 2016. ACM 2016, ISBN 978-1-4503-4206-3 [contents] - [e1]Tobias Friedrich, Frank Neumann, Andrew M. Sutton:
Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, CO, USA, July 20-24, 2016, Companion Material Proceedings. ACM 2016, ISBN 978-1-4503-4323-7 [contents] - [i4]Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton:
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity. CoRR abs/1608.03123 (2016) - 2015
- [j11]Francisco Chicano, Andrew M. Sutton
, L. Darrell Whitley, Enrique Alba:
Fitness Probability Distribution of Bit-Flip Mutation. Evol. Comput. 23(2): 217-248 (2015) - [j10]Pietro S. Oliveto
, Andrew M. Sutton
:
Editorial for the Special Issue on Theory of Evolutionary Algorithms 2014. Evol. Comput. 23(4): 509-511 (2015) - [j9]Anh Quang Nguyen, Andrew M. Sutton
, Frank Neumann
:
Population size matters: Rigorous runtime results for maximizing the hypervolume indicator. Theor. Comput. Sci. 561: 24-36 (2015) - [c41]Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
:
Robustness of Ant Colony Optimization to Noise. GECCO 2015: 17-24 - [c40]Frank Neumann
, Andrew M. Sutton
:
Parameterized Complexity Analysis of Evolutionary Algorithms. GECCO (Companion) 2015: 435-450 - [c39]Benjamin Doerr, Frank Neumann
, Andrew M. Sutton
:
Improved Runtime Bounds for the (1+1) EA on Random 3-CNF Formulas Based on Fitness-Distance Correlation. GECCO 2015: 1415-1422 - [c38]Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
:
The Benefit of Recombination in Noisy Evolutionary Search. ISAAC 2015: 140-150 - [i3]Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton:
The Benefit of Sex in Noisy Evolutionary Search. CoRR abs/1502.02793 (2015) - 2014
- [j8]Andrew M. Sutton
, Frank Neumann
, Samadhi Nallaperuma:
Parameterized Runtime Analyses of Evolutionary Algorithms for the Planar Euclidean Traveling Salesperson Problem. Evol. Comput. 22(4): 595-628 (2014) - [j7]L. Darrell Whitley, Andrew M. Sutton
, Gabriela Ochoa
, Francisco Chicano
:
The component model for elementary landscapes and partial neighborhoods. Theor. Comput. Sci. 545: 59-75 (2014) - [j6]Timo Kötzing, Andrew M. Sutton
, Frank Neumann
, Una-May O'Reilly:
The Max problem revisited: The importance of mutation in genetic programming. Theor. Comput. Sci. 545: 94-107 (2014) - [c37]Francisco Chicano
, L. Darrell Whitley, Andrew M. Sutton
:
Efficient identification of improving moves in a ball for pseudo-boolean problems. GECCO 2014: 437-444 - [c36]Frank Neumann
, Andrew M. Sutton
:
Parameterized complexity analysis of evolutionary algorithms. GECCO (Companion) 2014: 607-622 - [c35]Andrew M. Sutton
:
Superpolynomial lower bounds for the (1+1) EA on some easy combinatorial problems. GECCO 2014: 1431-1438 - [c34]Andrew M. Sutton, Frank Neumann:
Runtime Analysis of Evolutionary Algorithms on Randomly Constructed High-Density Satisfiable 3-CNF Formulas. PPSN 2014: 942-951 - 2013
- [j5]Andrew M. Sutton
, Francisco Chicano
, L. Darrell Whitley:
Fitness Function Distributions over Generalized Search Neighborhoods in the q-ary Hypercube. Evol. Comput. 21(4): 561-590 (2013) - [j4]Andrew M. Sutton:
Thomas Jansen: Analyzing Evolutionary Algorithms: The Computer Science Perspective - Springer, 2013, 255 pp, ISBN: 978-3-642-17338-7. Genet. Program. Evolvable Mach. 14(4): 473-475 (2013) - [j3]Andrew M. Sutton, Jonathan I. Maletic:
Emulating C++0x concepts. Sci. Comput. Program. 78(9): 1449-1469 (2013) - [c33]Samadhi Nallaperuma, Andrew M. Sutton
, Frank Neumann
:
Fixed-parameter evolutionary algorithms for the Euclidean Traveling Salesperson problem. IEEE Congress on Evolutionary Computation 2013: 2037-2044 - [c32]Samadhi Nallaperuma, Andrew M. Sutton
, Frank Neumann
:
Parameterized complexity analysis and more effective construction methods for ACO algorithms and the euclidean traveling salesperson problem. IEEE Congress on Evolutionary Computation 2013: 2045-2052 - [c31]L. Darrell Whitley, Andrew M. Sutton
:
Elementary landscapes: theory and applications. GECCO (Companion) 2013: 545-566 - [c30]Anh Quang Nguyen, Andrew M. Sutton
, Frank Neumann
:
Population size matters: rigorous runtime results for maximizing the hypervolume indicator. GECCO 2013: 1613-1620 - [i2]Francisco Chicano, Andrew M. Sutton, L. Darrell Whitley, Enrique Alba:
Fitness Probability Distribution of Bit-Flip Mutation. CoRR abs/1309.2979 (2013) - 2012
- [j2]Andrew M. Sutton
, L. Darrell Whitley, Adele E. Howe:
Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time. Theor. Comput. Sci. 425: 58-74 (2012) - [c29]Andrew M. Sutton, Frank Neumann:
A Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem. AAAI 2012: 1105-1111 - [c28]Andrew M. Sutton
, Jareth Day, Frank Neumann
:
A parameterized runtime analysis of evolutionary algorithms for MAX-2-SAT. GECCO 2012: 433-440 - [c27]L. Darrell Whitley, Andrew M. Sutton
:
Elementary landscapes: theory and applications. GECCO (Companion) 2012: 941-960 - [c26]Timo Kötzing, Andrew M. Sutton
, Frank Neumann
, Una-May O'Reilly:
The max problem revisited: the importance of mutation in genetic programming. GECCO 2012: 1333-1340 - [c25]Andrew M. Sutton
, Frank Neumann
:
A Parameterized Runtime Analysis of Simple Evolutionary Algorithms for Makespan Scheduling. PPSN (1) 2012: 52-61 - [p2]L. Darrell Whitley, Andrew M. Sutton
:
Genetic Algorithms - A Survey of Models and Methods. Handbook of Natural Computing 2012: 637-671 - [i1]Andrew M. Sutton, Frank Neumann:
A Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem. CoRR abs/1207.0578 (2012) - 2011
- [c24]Andrew M. Sutton
, L. Darrell Whitley, Adele E. Howe:
Approximating the distribution of fitness over hamming regions. FOGA 2011: 93-104 - [c23]Andrew M. Sutton
, L. Darrell Whitley, Adele E. Howe:
Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis. GECCO 2011: 973-980 - [c22]Jonathan I. Maletic, Daniel J. Mosora, Christian D. Newman
, Michael L. Collard, Andrew M. Sutton, Brian P. Robinson:
MosaiCode: Visualizing large scale software: A tool demonstration. VISSOFT 2011: 1-4 - 2010
- [c21]Andrew M. Sutton, Ryan Holeman, Jonathan I. Maletic:
Identification of Idiom Usage in C++ Generic Libraries. ICPC 2010: 160-169 - [c20]Andrew M. Sutton, Adele E. Howe, L. Darrell Whitley:
Directed Plateau Search for MAX-k-SAT. SOCS 2010: 90-97
2000 – 2009
- 2009
- [c19]Andrew M. Sutton
, L. Darrell Whitley, Adele E. Howe:
A polynomial time computation of the exact correlation structure of k-satisfiability landscapes. GECCO 2009: 365-372 - [c18]L. Darrell Whitley, Andrew M. Sutton
:
Partial neighborhoods of elementary landscapes. GECCO 2009: 381-388 - [c17]L. Darrell Whitley, Andrew M. Sutton
:
Elementary landscape analysis. GECCO (Companion) 2009: 3227-3236 - [c16]Andrew M. Sutton, Ryan Holeman, Jonathan I. Maletic:
Abstracting the template instantiation relation in C++. ICSM 2009: 559-562 - [c15]Andrew M. Sutton
, Adele E. Howe, L. Darrell Whitley:
Estimating Bounds on Expected Plateau Size in MAXSAT Problems. SLS 2009: 31-45 - [c14]Andrew M. Sutton
, Adele E. Howe, L. Darrell Whitley:
A Theoretical Analysis of the k-Satisfiability Search Space. SLS 2009: 46-60 - [c13]David C. Matthews, Andrew M. Sutton
, Doug Hains, L. Darrell Whitley:
Improved Robustness through Population Variance in Ant Colony Optimization. SLS 2009: 145-149 - 2008
- [c12]L. Darrell Whitley, Andrew M. Sutton, Adele E. Howe:
Understanding elementary landscapes. GECCO 2008: 585-592 - [c11]Andrew M. Sutton
, Jonathan I. Maletic:
Automatically identifying C++0x concepts in function templates. ICSM 2008: 57-66 - [c10]Monte Lunacek, L. Darrell Whitley, Andrew M. Sutton
:
The Impact of Global Structure on Search. PPSN 2008: 498-507 - [p1]L. Darrell Whitley, Andrew M. Sutton
, Adele E. Howe, Laura Barbulescu:
Resource Scheduling with Permutation Based Representations: Three Applications. Evolutionary Computation in Practice 2008: 219-243 - 2007
- [j1]Andrew M. Sutton, Jonathan I. Maletic:
Recovering UML class models from C++: A detailed explanation. Inf. Softw. Technol. 49(3): 212-229 (2007) - [c9]Andrew M. Sutton, Adele E. Howe, L. Darrell Whitley:
Using Adaptive Priority Weighting to Direct Search in Probabilistic Scheduling. ICAPS 2007: 320-327 - [c8]Andrew M. Sutton
, Monte Lunacek, L. Darrell Whitley:
Differential evolution and non-separability: using selective pressure to focus search. GECCO 2007: 1428-1435 - [c7]Andrew M. Sutton, Jonathan I. Maletic:
How We Manage Portability and Configuration with the C Preprocessor. ICSM 2007: 275-284 - [c6]Jay Smith, Luis Diego Briceno, Anthony A. Maciejewski
, Howard Jay Siegel, Timothy Renner, Vladimir Shestak, Joshua Ladd, Andrew M. Sutton
, David L. Janovy, Sudha Govindasamy, Amin Alqudah
, Rinku Dewri, Puneet Prakash:
Measuring the Robustness of Resource Allocations in a Stochastic Dynamic Environment. IPDPS 2007: 1-10 - 2006
- [c5]Andrew M. Sutton, Adele E. Howe, L. Darrell Whitley:
Spacetrack: Trading off Quality and Utilization in Oversubscribed Schedules. ICAPS 2006: 430-433 - [c4]Andrew M. Sutton, L. Darrell Whitley, Monte Lunacek, Adele E. Howe:
PSO and multi-funnel landscapes: how cooperation might limit exploration. GECCO 2006: 75-82 - 2005
- [c3]Andrew M. Sutton, Huzefa H. Kagdi, Jonathan I. Maletic, L. Gwenn Volkert:
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones. GECCO 2005: 1079-1080 - [c2]Huzefa H. Kagdi, Jonathan I. Maletic, Andrew M. Sutton:
Context-Free Slicing of UML Class Models. ICSM 2005: 635-638 - [c1]Andrew M. Sutton, Jonathan I. Maletic:
Mappings for Accurately Reverse Engineering UML Class Models from C++. WCRE 2005: 175-184
Coauthor Index
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