Further Enquiries
School of Computer and Mathematical Sciences
Ingkarni Wardli Building
The University of Adelaide
SA 5005
AUSTRALIA
Email
Telephone: +61 8 8313 5586
Facsimile: +61 8 8313 4366
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Recent Publications (since 2013)
Editorial Work:
- F. Neumann, B. Doerr, P. K. Lehre, P. C. Haddow (2014):
Special Issue on "Theoretical Foundations of Evolutionary Computation".
IEEE Transactions on Evolutionary Computation, Volume 18, Issue 5.
- F. Neumann, K. De Jong (2013): FOGA 2013: Proceedings of the twelfth workshop on Foundations of genetic algorithms XII, ACM Press, 190 pages.
Journal Papers:
- M. Varsei, S. Polyakovskiy (2015): Sustainable supply chain network design: A case of the wine industry in Australia. Omega (to appear).
- S. Polyakovskiy, R. Berghammer, F. Neumann (2015):
Solving Hard Control Problems in Voting Systems via Integer Programming.
European Journal of Operational Research (to appear).
Available:
[doi:10.1016/j.ejor.2015.08.052]
- D. Corus, P. K. Lehre, F. Neumann, M. Pourhassan (2015):
A parameterised complexity analysis of bi-level optimisation with evolutionary algorithms.
Evolutionary Computation (to appear).
Available:
[CoRR abs/1401.1905]
- M. Wagner, K. Bringmann, T. Friedrich, and F. Neumann (2015):
Efficient optimization of many objectives by approximation-guided evolution.
European Journal of Operational Research , Volume 243, Issue 2, 465–479.
- T. Friedrich, F. Neumann, C. Thyssen (2015):
Multiplicative approximations, optimal hypervolume distributions, and the choice of the reference point.
Evolutionary Computation (to appear).
- A. Q. Nguyen, A. M. Sutton, F. Neumann (2015):
Population size matters: rigorous runtime results for maximizing the hypervolume indicator.
Theoretical Computer Science, Volume 561, 24-36.
- A. M. Sutton, F. Neumann, S. Nallaperuma (2014):
Parameterized runtime analyses of evolutionary
algorithms for the planar Euclidean traveling salesperson problem.
Evolutionary Computation, Volume 22, Issue 4, 595–628.
- D. Goossens, S. Polyakovskiy, F.C.R. Spieksma, and G. Woeginger (2014):
The focus of attention problem.
Algorithmica, DOI 10.1007/s00453-014-9963-8 (to appear).
- M. R. Bonyadi and Z. Michalewicz (2014):
A hybrid particle swarm with a time-adaptive topology for constrained optimization.
Swarm and Evolutionary Computation, Elsevier, DOI: 10.1016/j.swevo.2014.06.001, (to appear)
- M. R. Bonyadi and Z. Michalewicz (2014):
A locally convergent rotationally invariant particle swarm optimization algorithm.
Journal of swarm Intelligence, Springer, DOI: 10.1007/s11721-014-0095-1, (to appear)
- M. R. Bonyadi, Z. Michalewicz, and X. Li (2014):
An Analysis on the Velocity Vector of the Particle Swarm Optimizer Algorithm.
Journal of Heuristics, Springer, pp. 417-452, DOI: 10.1007/s10732-014-9245-2
- T. Kötzing, A. M. Sutton, F. Neumann, and U.-M. O'Reilly (2014):
The Max problem revisited: the importance of mutation in genetic programming.
Theoretical Computer Science, Volume 545, 94-107.
- S. Polyakovskiy, R. M’Hallah (2014):
A multi-agent system for the weighted earliness tardiness parallel machine problem.
Computers & Operations Research, Volume 44, 115-136.
- Mingyu Guo, Evangelos Markakis, Krzysztof R. Apt, and Vincent Conitzer (2013): Undominated Groves Mechanisms. Journal of Artificial Intelligence Research, Volumne 46, 129-163.
- M. Wagner, J. Day, F. Neumann (2013):
A fast and effective local search algorithm for optimizing the placement of wind turbines. Renewable Energy, Volume 51, 64-70.
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K. Vladislavleva, T. Friedrich, F. Neumann, M. Wagner (2013):
Predicting the energy output of wind farms based on weather data: important variables and their correlation.
Renewable Energy, Volume 50, 236-243.
- S. Kratsch, F. Neumann (2013): Fixed-parameter evolutionary algorithms and the vertex
cover problem.
Algorithmica, Volume 65, Issue 4, 754-771.
- B. Doerr, D. Johannsen, T. Kötzing, F. Neumann, M. Theile (2013):
More effective crossover operators for the all-pairs shortest path problem.
Theoretical Computer Science. Volume 471, 12-26.
- O. Mersmann, B. Bischl, H. Trautmann, M. Wagner, J. Bossek, F.
Neumann (2013):
A Novel Feature-Based Approach to Characterize Algorithm Performance for
the Traveling Salesman Problem. Annals of Mathematics and Artificial
Intelligence, March 2013, 1-32.
Book Chapters:
- M. Wagner, J. Day, D. Jordan, T. Kroeger, F. Neumann (2013):
Evolving Pacing Strategies for Team Pursuit Track Cycling.
Advances in Metaheuristics, Operations Research/Computer Science
Interfaces Series, Springer, 61-76.
Conference Papers:
- M. Bokhari, T. Bormer, M. Wagner (2015):
An improved Beam-Search for Testing Formal Verification Systems.
In: Symposium on Search-Based Software Engineering, SSBSE 2015 (to appear).
- F. Neumann, C. Witt (2015):
On the runtime of randomized local search and simple evolutionary algorithms for dynamic makespan scheduling.
In: International Joint Conferences on Artificial Intelligence, IJCAI 2015 (to appear).
- M. Pourhassan, W. Gao, F. Neumann (2015):
Maintaining 2-approximations for the dynamic vertex cover Problem using evolutionary algorithms.
In: Genetic and Evolutionary Computation Conference, GECCO 2015, ACM Press (to appear).
- M. Pourhassan, F. Neumann (2015):
On the impact of local search operators and variable neighbourhood search for the generalized travelling salesperson problem.
In: Genetic and Evolutionary Computation Conference, GECCO 2015, ACM Press (to appear).
- Doerr, F. Neumann, A. M. Sutton (2015):
Improved runtime bounds for the (1+1) EA on random 3-CNF formulas based on fitness-distance correlation.
In: Genetic and Evolutionary Computation Conference, GECCO 2015, ACM Press (to appear).
- D. Lückehe, M. Wagner, and O. Kramer (2015):
On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints.
In: Genetic and Evolutionary Computation Conference, GECCO 2015, ACM Press (to appear).
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H. Faulkner, S. Polyakovskiy, T. Schultz, and M. Wagner (2015):
Approximate Approaches to the Traveling Thief Problem.
In: Genetic and Evolutionary Computation Conference, GECCO 2015, ACM Press, pages 385-392.
- M. Bokhari, M. Wagner (2015):
Improving Test Coverage of Formal Verification Systems via Beam Search.
In: Genetic and Evolutionary Computation Conference (Companion), GECCO 2015, ACM Press (to appear).
- S. Polyakovskiy, F. Neumann (2015):
Packing while traveling: mixed integer programming for a class of nonlinear knapsack problems.
In: Twelfth International Conference on Integration of Artificial Intelligence (AI) and Operations Research (OR) techniques in Constraint Programming, CPAIOR 2015 (to appear).
Available:
[CoRR abs/1411.5768]
- M. R. Bonyadi, Z. Michalewicz, and Markus Wagner (2014):
Beyond the edge of feasibility: analysis of bottlenecks.
In: Simulated Evolution and Artificial Life, SEAL 2014.
- A. Nguyen, Markus Wagner, and Frank Neumann (2014):
Incorporating User Preferences into Approximation-Guided Multi-Objective Evolution.
In: Simulated Evolution and Artificial Life, SEAL 2014.
- T. Friedrich, F. Neumann (2014):
Maximizing submodular functions under matroid constraints by multi-objective evolutionary algorithms.
In: Parallel Problem Solving from Nature XIII, PPSN 2014. (Nominated for Best Paper Award)
- A. M. Sutton, F. Neumann (2014):
Average-case analysis of evolutionary algorithms on high-density satisfiable 3-CNF formulas.
In: Parallel Problem Solving from Nature XIII, PPSN 2014.
- S. Nallaperuma, M. Wagner, and F. Neumann (2014):
Parameter prediction based on features of evolved instances for ant colony optimization and the traveling salesperson problem.
In: Parallel Problem Solving from Nature XIII, PPSN 2014.
- M. R. Bonyadi and Z. Michalewicz (2014):
SPSO2011 – Analysis of stability, local convergence, and rotation sensitivity.
In: Genetic and Evolutionary Computation Conference, GECCO 2014, ACM Press, pp. 9-16. (Best Paper Award in the track "ACSI")
- M. R. Bonyadi, Z. Michalewicz, M. Przybyłek, and A. Wierzbicki (2014):
Socially Inspired Algorithms for the Travelling Thief Problem.
In: Genetic and Evolutionary Computation Conference, GECCO 2014, ACM Press, pp. 421-428.
- W. Gao, F. Neumann (2014):
Runtime analysis for maximizing population diversity in single-objective optimization.
In: Genetic and Evolutionary Computation Conference, GECCO 2014, ACM Press, pp. 777-784.
- S. Nallaperuma, F. Neumann, D. Sudholt (2014):
A fixed budget analysis of randomized search heuristics for the traveling salesperson problem.
In: Genetic and Evolutionary Computation Conference, GECCO 2014, ACM Press, pp. 807-814. (Nominated for Best Paper Award in the track "Genetic Algorithms")
- S. Nallaperuma, F. Neumann, M. R. Bonyadi, Z. Michalewicz (2014):
EVOR : An online evolutionary algorithm for car racing games.
In: Genetic and Evolutionary Computation Conference, GECCO 2014, ACM Press, pp. 317-324 .
- S. Polyakovskiy, M. R. Bonyadi, M. Wagner, F. Neumann, Z. Michalewicz (2014):
A comprehensive benchmark set and heuristics for the travelling thief problem.
In: Genetic and Evolutionary Computation Conference, GECCO 2014, ACM Press, pp. 477-484.
- M. R. Bonyadi and Z. Michalewicz (2014):
On the edge of feasibility: a case study of the particle swarm optimizer.
In: Congress on Evolutionary Computation, CEC 2014, IEEE (to appear)
- S. Poursoltan, F. Neumann (2014):
A feature-based analysis on the impact of linear constraints for e-constrained differential evolution.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2014, IEEE Press (to appear).
- M. Wagner, F. Neumann (2014):
Single- and multi-objective genetic programming: new runtime results for SORTING.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2014, IEEE Press (to appear).
- M. Wagner (2014):
Maximising Axiomatization Coverage and Minimizing Regression Testing Time.
In: Congress on Evolutionary Computation, CEC 2014, IEEE (to appear)
- Mingyu Guo, Argyrios Deligkas, and Rahul Savani (2014): Increasing VCG Revenue by Decreasing the Quality of Items. In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI-14), Québec City, Québec, Canada.
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Shunsuke Tsuruta, Masaaki Oka, Taiki Todo, Yujiro Kawasaki, Mingyu Guo, Yuko Sakurai, and Makoto Yokoo (2014): Optimal False-name-proof Single-Item Redistribution Mecanisms. In Proceedings of the Thirteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-14), Paris, France.
- Mingyu Guo and Argyrios Deligkas (2013): Revenue Maximization via Hiding Item Attributes. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China.
- B. Beckert, T. Bormer, M.Wagner (2013):
Heuristically Creating Test Cases for Program Verification Systems.
In: Metaheuristics International Conference, MIC 2013
- S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, H. Trautmann (2013):
A feature-based comparison of local search and the Christofides algorithm for the travelling salesperson problem.
In: Foundations of Genetic Algorithms XII, FOGA 2013, ACM Press, 147-160.
- S. Nallaperuma, A. M. Sutton, F. Neumann (2013):
Parameterized complexity analysis and more effective construction methods for ACO algorithms and the Euclidean traveling salesperson problem.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2013, IEEE Press.
- S. Nallaperuma, A. M. Sutton, F. Neumann (2013):
Fixed-parameter evolutionary algorithms for the Euclidean traveling salesperson problem.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2013, IEEE Press.
- M. Wagner, T. Friedrich (2013):
Efficient Parent Selection for Approximation-Guided Evolutionary Multi-Objective Optimization.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2013, IEEE Press.
- R. Tran, J. Wu, C. Denison, T. Ackling, M. Wagner, and Frank Neumann (2013):
Fast and effective multi-objective optimisation of wind turbine placement.
In: Genetic and Evolutionary Computation Conference, GECCO 2013, ACM Press.
- D. Corus, P. K. Lehre, F. Neumann (2013):
The generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisation.
In: Genetic and Evolutionary Computation Conference, GECCO 2013, ACM Press (to appear).(Best Paper Award in the track "Evolutionary Combinatorial Optimization and Metaheuristics")
- A. Nguyen, A. M. Sutton, F. Neumann (2013):
Population size matters: rigorous runtime results for maximizing the hypervolume indicator.
In: Genetic and Evolutionary Computation Conference, GECCO 2013, ACM Press.
- M. Wagner, F. Neumann (2013):
A fast approximation-guided evolutionary multi-objective algorithm.
In: Genetic and Evolutionary Computation Conference, GECCO 2013, ACM Press.
- S. Nallaperuma, M. Wagner, F. Neumann (2013):
Ant colony optimisation and the traveling salesperson problem -- hardness, features and parameter settings (extended abstract).
In: Genetic and Evolutionary Computation Conference, GECCO 2013, Companion Material Proceedings, ACM Press.
- M. Wagner, T. Friedrich (2013):
Efficient Parent Selection for Approximation-Guided Evolutionary Multi-Objective Optimization.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2013, IEEE Press.
- M.R. Bonyadi, Z. Michalewicz, L. Barone (2013):
The travelling thief problem: the first step in the transition from theoretical problems to realistic problems.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2013, IEEE Press.
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X. Li, M. R. Bonyadi, Z. Michalewicz, L. Barone (2013):
Real-world wheat blending problem using Hybrid Evolutionary Algorithm.
In: IEEE Congress on Evolutionary Computation, IEEE CEC 2013, IEEE Press.
- M. R. Bonyadi, X. Li, Z. Michalewicz (2013):
A hybrid Particle Swarm with Velocity Mutation for Constraint Optimization Problems.
In: Genetic and Evolutionary Computation Conference, GECCO 2013, ACM Press.
- A. Nguyen, T. Urli, M. Wagner (2013):
Single- and multi-objective genetic programming: new bounds for weighted ORDER and MAJORITY.
In: Foundations of Genetic Algorithms XII, FOGA 2013, ACM Press, 161-172.
- B. Beckert, M. Wagner, T. Bormer (2013):
A Metric for Testing Program Verification Systems.
In: Tests and Proofs, TAP 2013, Springer.
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