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Richard Allmendinger
Richard Allmendinger
Professor of Applied AI, The University of Manchester, UK
Verified email at manchester.ac.uk - Homepage
Title
Cited by
Year
Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning
S Salehiamiri, R Allmendinger, A De
ECTA (European Chemical Transport Association), 2024
2024
On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing
A Vargas, P Shukla, R Allmendinger, A Jaeger
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
2024
Bayesian Optimization with Setup Switching Cost
S Pricopie, R Allmendinger, M Lopez-Ibanez, C Fare, M Benatan, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
2024
Multi-objective evolutionary GAN for tabular data synthesis
N Ran, B Nasution, C Little, R Allmendinger, M Elliot
Proceedings of the Genetic and Evolutionary Computation Conference, 394-402, 2024
12024
The production of bespoke synthetic teaching datasets without access to the original data
M Elliott, C Little, R Allmendinger
Privacy in Statistical Databases conference 2024, 2024
2024
Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow
W Bai, F Meng, M Sun, H Qin, R Allmendinger, KY Lee
Applied Soft Computing 160, 111662, 2024
2024
Synthetic census microdata generation: A comparative study of synthesis methods examining the trade-off between disclosure risk and utility
C Little, R Allmendinger, M Elliot
Journal of Official Statistics, 2024
12024
An adaptive approach to Bayesian Optimization with switching costs
S Pricopie, R Allmendinger, M Lopez-Ibanez, C Fare, M Benatan, ...
arXiv preprint arXiv:2405.08973, 2024
2024
Topic Modelling with Constructivist Grounded Theory: A Way of Big Textual Data Analysis for Theory Building
E Odacioglu, L Zhang, R Allmendinger, A Shahgholian
6th International Conference on Advanced Research Methods and Analytics …, 2024
2024
FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning
KM Alshmrany, M Aldughaim, C Wei, T Sweet, R Allmendinger, ...
arXiv preprint arXiv:2404.06031, 2024
2024
A Novel Method for Theorising with Big Textual Data: Topic Modelling with Grounded Theory
E Odacioglu, L Zhang, R Allmendinger, A Shahgholian
Academy of Management Proceedings, 2024
2024
Special issue on operations research and machine learning
H A. Khorshidi, M Soltanolkottabi, R Allmendinger, U Aickelin
INFOR: Information Systems and Operational Research, 1-3, 2024
2024
Multiobjective Optimization on a Budget
R Allmendinger, CM Fonseca, S Sayin, MM Wiecek, M Stiglmayr
2024
4.7 Modeling and Decomposition–Biobjective Block-Coordinate Descent
R Allmendinger, CM Fonseca, S Sayin, MM Wiecek
Multiobjective Optimization on a Budget, 45, 2024
2024
4.6 Computing R2-Optimal Representations of the Pareto Front on a Budget
R Allmendinger, CM Fonseca, S Sayin, MM Wiecek
Multiobjective Optimization on a Budget, 35, 2024
2024
4.5 Rank-based Surrogates for Multiobjective Optimization
R Allmendinger, CM Fonseca, S Sayin, MM Wiecek
Multiobjective Optimization on a Budget, 33, 2024
2024
3.9 Multi-objective Branch-and-Bound on a Budget
R Allmendinger, CM Fonseca, S Sayin, MM Wiecek
Multiobjective Optimization on a Budget, 13, 2024
2024
A Comparative Study of Optimal PV Allocation in a Distribution Network Using Evolutionary Algorithms
W Bai, W Zhang, R Allmendinger, I Enyekwe, KY Lee
Energies 17 (2), 511, 2024
32024
Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361)
R Allmendinger, CM Fonseca, S Sayin, MM Wiecek, M Stiglmayr
Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2024
2024
Big textual data research for operations management: topic modelling with grounded theory
EC Odacioglu, L Zhang, R Allmendinger, A Shahgholian
International Journal of Operations & Production Management, 2023
22023
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