| 2026 | EvoMUSART | Mapping Artificial Neural Networks' Processing Data in Audiovisual Artworks. | Tanguy Pocquet, Richard Allmendinger, Ricardo Climent |
| 2025 | EMO | Multi-objective Sequential Decision Making for Holistic Supply Chain Optimization. | Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Pradyumn Kumar Shukla, Wei Pan |
| 2025 | GECCO | Towards Deep Optimization in Operations Scheduling. | Linus Danardya, Joshua D. Knowles, Richard Allmendinger |
| 2025 | GECCO | Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk. | Seyedamirhossein Salehi-Amiri, Xiuqin Li, Richard Allmendinger, Elvira Uyarra, James Mercer |
| 2025 | ICLR | HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. | Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger |
| 2025 | IROS | TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion. | Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan, Richard Allmendinger |
| 2024 | GECCO | Bayesian Optimization with Setup Switching Cost. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2024 | GECCO | Multi-objective evolutionary GAN for tabular data synthesis. | Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot |
| 2024 | GECCO | On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. | Axel Vargas, Pradyumn Kumar Shukla, Richard Allmendinger, Andreas Jaeger |
| 2024 | IJCCI | Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning. | Seyedamirhossein Salehiamiri, Richard Allmendinger, Arijit De |
| 2024 | PPSN | An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2024 | PSD | The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. | Mark J. Elliot, Claire Little, Richard Allmendinger |
| 2023 | CHI | Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction. | Chris Rhodes, Richard Allmendinger, Caroline Jay, Ricardo Climent |
| 2023 | EMO | Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. | Arnaud Liefooghe, Sbastien Vrel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2023 | EMO | An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. | Seyed Mahdi Shavarani, Manuel Lpez-Ibez, Richard Allmendinger, Joshua D. Knowles |
| 2023 | GECCO | SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. | Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent |
| 2023 | GECCO | Applying Ising Machines to Multi-objective QUBOs. | Mayowa Ayodele, Richard Allmendinger, Manuel Lpez-Ibez, Arnaud Liefooghe, Matthieu Parizy |
| 2023 | GECCO | Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. | Diederick Vermetten, Manuel Lpez-Ibez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova |
| 2022 | CIBCB | Composite Facility Location Problems: A Case Study of Personalised Medicine. | Andreea Avramescu, Richard Allmendinger, Manuel Lpez-Ibez, Adriana G. Lopes |
| 2022 | GECCO | Multi-objective QUBO solver: bi-objective quadratic assignment problem. | Mayowa Ayodele, Richard Allmendinger, Manuel Lpez-Ibez, Matthieu Parizy |
| 2022 | GECCO | Are evolutionary algorithms safe optimizers? | Youngmin Kim, Richard Allmendinger, Manuel Lpez-Ibez |
| 2022 | GECCO | Expensive optimization with production-graph resource constraints: a first look at a new problem class. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2022 | PPSN | Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. | Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda |
| 2022 | PPSN | Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. | Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2022 | PSD | Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. | Claire Little, Mark J. Elliot, Richard Allmendinger |
| 2021 | IDEAL | Evaluating Football Player Actions During Counterattacks. | Laurynas Raudonius, Richard Allmendinger |
| 2019 | GECCO | A feature rich distance-based many-objective visualisable test problem generator. | Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen |
| 2019 | GECCO | Evolving controllably difficult datasets for clustering. | Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane |
| 2019 | IDEAL | A Clustering-Based Patient Grouper for Burn Care. | Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn |
| 2019 | IDEAL | New Interfaces for Classifying Performance Gestures in Music. | Chris Rhodes, Richard Allmendinger, Ricardo Climent |
| 2018 | GECCO | Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. | Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen |
| 2018 | GECCO | Towards an adaptive encoding for evolutionary data clustering. | Cameron Shand, Richard Allmendinger, Julia Handl, John Keane |
| 2017 | CIBCB | Leveraging data mining techniques to understand drivers of obesity. | Reza Salehnejad, Richard Allmendinger, Yu-Wang Chen, Manhal Ali, Azar Shahgholian, Paraskevas Yiapanis, Mohaimen Mansur |
| 2017 | GECCO | Constraint handling in efficient global optimization. | Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jrgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya |
| 2017 | GECCO | Sequential experimentation by evolutionary algorithms. | Ofer M. Shir, Thomas Bck, Joshua D. Knowles, Richard Allmendinger |
| 2017 | GECCO | Heuristic allocation of computational resources. | Silviu Tofan, Richard Allmendinger, Manuela Zanda, Olly Stephens |
| 2014 | PPSN | A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. | Richard Allmendinger, Suzanne S. Farid |
| 2014 | PPSN | Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions. | Richard Allmendinger, Spyridon Gerontas, Nigel John Titchener-Hooker, Suzanne S. Farid |
| 2013 | CEC | Exposing market mechanism design trade-offs via multi-objective evolutionary search. | Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao, Jim Trresen |
| 2013 | EMO | 'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. | Richard Allmendinger, Joshua D. Knowles |
| 2012 | PPSN | Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing. | Richard Allmendinger, Ana S. Simaria, Suzanne S. Farid |
| 2011 | GECCO | Policy learning in resource-constrained optimization. | Richard Allmendinger, Joshua D. Knowles |
| 2011 | IJCCI | Evolutionary Search in Lethal Environments. | Richard Allmendinger, Joshua D. Knowles |
| 2010 | PPSN | Evolutionary Optimization on Problems Subject to Changes of Variables. | Richard Allmendinger, Joshua D. Knowles |
| 2010 | PPSN | On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. | Richard Allmendinger, Joshua D. Knowles |