Aneta Neumann
Aneta Neumann
Researcher, PRIF Research Consortium, Computer Science, Australia
Verified email at adelaide.edu.au - Homepage
TitleCited byYear
Evolutionary image transition using random walks
A Neumann, B Alexander, F Neumann
International Conference on Evolutionary and Biologically Inspired Music and …, 2017
162017
Evolution of artistic image variants through feature based diversity optimisation
B Alexander, J Kortman, A Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2017), 2017
102017
On the performance of baseline evolutionary algorithms on the dynamic knapsack problem
V Roostapour, A Neumann, F Neumann
International Conference on Parallel Problem Solving from Nature (PPSN 2018 …, 2018
82018
Discrepancy-based evolutionary diversity optimization
A Neumann, W Gao, C Doerr, F Neumann, M Wagner
The Genetic and Evolutionary Computation Conference (GECCO 2018), 991-998, 2018
82018
Evolutionary image composition using feature covariance matrices
A Neumann, ZL Szpak, W Chojnacki, F Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2017), 817-824, 2017
82017
The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation
Aneta Neumann, Bradley Alexander, Frank Neumann
The International Conference on Neural Information Processing, LNCS Springer, 2016
8*2016
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
V Roostapour, A Neumann, F Neumann, T Friedrich
The Conference on Artificial Intelligence (AAAI 2019), 2019
72019
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
V Roostapour, A Neumann, F Neumann, T Friedrich
arXiv preprint arXiv:1811.07806, 2018
72018
Multi-objectiveness in the single-objective traveling thief problem
ME Yafrani, S Chand, A Neumann, B Ahiod, M Wagner
The Genetic and Evolutionary Computation Conference (GECCO 2017, Companion …, 2017
62017
A modified indicator-based evolutionary algorithm (mIBEA)
W Li, E Özcan, R John, JH Drake, A Neumann, M Wagner
IEEE Congress on Evolutionary Computation (CEC 2017), 1047-1054, 2017
42017
Evolutionary Diversity Optimization Using Multi-Objective Indicators
A Neumann, W Gao, M Wagner, F Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2019), 2019
32019
Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network
A Neumann, C Pyromallis, B Alexander
International Conference on Neural Information Processing, LNCS Springer …, 2018
22018
Quasi-random Agents for Image Transition and Animation
A Neumann, F Neumann, T Friedrich
Australian Journal of Intelligent Information Processing Systems 16 (1), 10-18, 2019
12019
Evolutionary computation for digital art.
A Neumann, F Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2019, Tutorial …, 2019
12019
Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
J Bossek, P Kerschke, A Neumann, M Wagner, F Neumann, H Trautmann
Foundations of Genetic Algorithms (FOGA 2019), 2019
12019
Evolutionary Algorithms for the Chance-Constrained Knapsack Problem
Y Xie, O Harper, H Assimi, A Neumann, F Neumann
arXiv preprint: 902.04767, 2019
12019
Evolutionary Algorithms for the Chance-Constrained Knapsack Problem
Y Xie, O Harper, H Assimi, A Neumann, F Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2019), 2019
12019
Evolutionary computation for digital art.
A Neumann, F Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2018, Tutorial …, 2018
12018
Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives
H Assimi, O Harper, Y Xie, A Neumann, F Neumann
European Conference on Artificial Intelligence (ECAI 2020), 2020
2020
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings
V Doskoč, T Friedrich, A Göbel, A Neumann, F Neumann, F Quinzan
European Conference on Artificial Intelligence (ECAI 2020), 2020
2020
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