Aneta Neumann
Aneta Neumann
Researcher, Research Consortium, Computer Science, Australia
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Evolutionary image transition using random walks
A Neumann, B Alexander, F Neumann
International Conference on Evolutionary and Biologically Inspired Music and …, 2017
192017
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
162019
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
V Roostapour, A Neumann, F Neumann, T Friedrich
arXiv preprint arXiv:1811.07806, 2018
162018
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
152018
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
132018
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
132017
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
102017
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
102017
Evolutionary Diversity Optimization Using Multi-Objective Indicators
A Neumann, W Gao, M Wagner, F Neumann
The Genetic and Evolutionary Computation Conference (GECCO 2019), 2019
92019
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
9*2016
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
82019
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
62017
Evolutionary Algorithms for the Chance-Constrained Knapsack Problem
Y Xie, O Harper, H Assimi, A Neumann, F Neumann
arXiv preprint: 902.04767, 2019
52019
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
52019
Optimization of Chance-Constrained Submodular Functions
B Doerr, C Doerr, A Neumann, F Neumann, AM Sutton
The Conference on Artificial Intelligence (AAAI 2020), 2020
42020
Optimising Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-objective Algorithms
A Neumann, F Neumann
International Conference on Parallel Problem Solving from Nature, 404-417, 2020
32020
Evolutionary Image Transition and Painting Using Random Walks
A Neumann, B Alexander, F Neumann
arXiv preprint CoRR abs/2003.01517, 2020
32020
Evolutionary Image Transition and Painting Using Random Walks
A Neumann, B Alexander, F Neumann
Evolutionary Computation Journal, 1-34, 2020
32020
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
arXiv preprint CoRR abs/2002.06766, 2020
32020
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
32020
The system can't perform the operation now. Try again later.
Articles 1–20