| 2026 | GECCO | A Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples. | Joshua D. Knowles, Per Kristian Lehre, Shishen Lin, Frank Neumann, Janina Schreiber, Christine Zarges |
| 2026 | GECCO | Bi-objective Stochastic Simulation Optimization on Integer Lattices via Scalarization. | Sebastian Rojas-Gonzalez, Ivo Couckuyt, Joshua D. Knowles |
| 2026 | GECCO | Not All Problems Are Equal: Weighted Performance Profiles For Many-Objective Optimization. | Regina Carla Sousa, Dnis E. C. Vargas, Elizabeth F. Wanner, Joshua D. Knowles |
| 2025 | EMO | PAES-25: Local Search, Archiving, and Multi/Many-Objective Pseudo-Boolean Functions. | Joshua D. Knowles, Arnaud Liefooghe |
| 2025 | EMO | An MaOEA/Local Search Hybrid Based on a Fast, Stochastic BFGS Using Achievement Scalarizing Search Directions. | Regina C. L. C. de Sousa, Dnis E. C. Vargas, Elizabeth F. Wanner, Joshua D. Knowles |
| 2025 | FOGA | Answering Hamming. | Joshua D. Knowles |
| 2025 | GECCO | Improving Deep Optimisation for the Multi-dimensional Knapsack Problem using Elastic Weight Consolidation. | Antoine Calame, Ruth Misener, Joshua D. Knowles |
| 2025 | GECCO | Towards Deep Optimization in Operations Scheduling. | Linus Danardya, Joshua D. Knowles, Richard Allmendinger |
| 2024 | GECCO | A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. | Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann |
| 2024 | GECCO | Evolutionary Multiobjective Optimization (EMO). | Joshua D. Knowles, Weijie Zheng |
| 2024 | GECCO | Bayesian Optimization with Setup Switching Cost. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 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 |
| 2023 | EMO | An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. | Seyed Mahdi Shavarani, Manuel Lpez-Ibez, Richard Allmendinger, Joshua D. Knowles |
| 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 |
| 2021 | GECCO | Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. | Seyed Mahdi Shavarani, Manuel Lpez-Ibez, Joshua D. Knowles |
| 2017 | EMO | A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. | Mario Garza-Fabre, Julia Handl, Joshua D. Knowles |
| 2017 | EMO | On Using Decision Maker Preferences with ParEGO. | Jussi Hakanen, Joshua D. Knowles |
| 2017 | GECCO | Sequential experimentation by evolutionary algorithms. | Ofer M. Shir, Thomas Bck, Joshua D. Knowles, Richard Allmendinger |
| 2016 | UC | Global Network Cooperation Catalysed by a Small Prosocial Migrant Clique. | Steve Miller, Joshua D. Knowles |
| 2015 | EMO | Machine Decision Makers as a Laboratory for Interactive EMO. | Manuel Lpez-Ibez, Joshua D. Knowles |
| 2015 | GECCO | Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. | Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell |
| 2014 | ALIFE | Studying the Evolvability of of Self-Encoding Genotype-Phenotype Maps. | Andrew M. Webb, Joshua D. Knowles |
| 2014 | ICPR | Hellinger Distance Trees for Imbalanced Streams. | Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers |
| 2013 | CEC | Systematic construction of algorithm portfolios for a Maintenance Scheduling Problem. | Ahmad Almakhlafi, Joshua D. Knowles |
| 2013 | EMO | 'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. | Richard Allmendinger, Joshua D. Knowles |
| 2013 | EMO | Evidence Accumulation in Multiobjective Data Clustering. | Julia Handl, Joshua D. Knowles |
| 2013 | GECCO | Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. | Ricardo Aler, Julia Handl, Joshua D. Knowles |
| 2013 | SMC | A Study on Classification in Imbalanced and Partially-Labelled Data Streams. | Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers |
| 2012 | CEC | Benchmarks for maintenance scheduling problems in power generation. | Ahmad Almakhlafi, Joshua D. Knowles |
| 2012 | PPSN | Clustering Criteria in Multiobjective Data Clustering. | Julia Handl, Joshua D. Knowles |
| 2011 | EMO | On Sequential Online Archiving of Objective Vectors. | Manuel Lpez-Ibez, Joshua D. Knowles, Marco Laumanns |
| 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 | GECCO | Experimental optimization by evolutionary algorithms. | Thomas Bck, Joshua D. Knowles, Ofer M. Shir |
| 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 |
| 2009 | EMO | Noisy Multiobjective Optimization on a Budget of 250 Evaluations. | Joshua D. Knowles, David Corne, Alan P. Reynolds |
| 2008 | PPSN | Multiobjectivization by Decomposition of Scalar Cost Functions. | Julia Handl, Simon C. Lovell, Joshua D. Knowles |
| 2008 | PPSN | Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. | Julia Handl, Simon C. Lovell, Joshua D. Knowles |
| 2007 | EMO | Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. | Joshua D. Knowles, David Corne |
| 2007 | GECCO | Techniques for highly multiobjective optimisation: some nondominated points are better than others. | David W. Corne, Joshua D. Knowles |
| 2006 | CEC | Predicting Stochastic Search Algorithm Performance using Landscape State Machines. | William Rowe, David Corne, Joshua D. Knowles |
| 2006 | GECCO | On semi-supervised clustering via multiobjective optimization. | Julia Handl, Joshua D. Knowles |
| 2006 | IJCNN | Semi-supervised feature selection via multiobjective optimization. | Julia Handl, Joshua D. Knowles |
| 2006 | PPSN | An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. | Julia Handl, Joshua D. Knowles |
| 2005 | CEC | Multiobjective clustering around medoids. | Julia Handl, Joshua D. Knowles |
| 2005 | CEC | Improvements to the scalability of multiobjective clustering. | Julia Handl, Joshua D. Knowles |
| 2005 | EMO | Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. | Julia Handl, Joshua D. Knowles |
| 2005 | EMO | Multiobjective Optimization on a Budget of 250 Evaluations. | Joshua D. Knowles, Evan J. Hughes |
| 2005 | ISDA | A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. | Joshua D. Knowles |
| 2004 | PPSN | Evolutionary Multiobjective Clustering. | Julia Handl, Joshua D. Knowles |
| 2003 | CEC | Some multiobjective optimizers are better than others. | David Corne, Joshua D. Knowles |
| 2003 | CEC | Bounded archiving using the lebesgue measure. | Joshua D. Knowles, David W. Corne, M. Fleischer |
| 2003 | EMO | No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. | David Corne, Joshua D. Knowles |
| 2003 | EMO | Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. | Joshua D. Knowles, David Corne |
| 2003 | HIS | On the Performance of Ant-based Clustering. | Julia Handl, Joshua D. Knowles, Marco Dorigo |
| 2002 | CEC | On metrics for comparing nondominated sets. | Joshua D. Knowles, David Corne |
| 2002 | HIS | Towards Landscape Analyses to Inform the Design of Hybrid Local Search for the Multiobjective Quadratic Assignment Problem. | Joshua D. Knowles, David Corne |
| 2002 | PATAT | A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. | Olivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Lus Paquete, Thomas Sttzle |
| 2002 | PPSN | On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. | Joshua D. Knowles, Richard A. Watson |
| 2001 | CEC | A comparison of encodings and algorithms for multiobjective minimum spanning tree problems. | Joshua D. Knowles, David W. Corne |
| 2001 | EMO | Reducing Local Optima in Single-Objective Problems by Multi-objectivization. | Joshua D. Knowles, Richard A. Watson, David Corne |
| 2000 | CEC | M-PAES: a memetic algorithm for multiobjective optimization. | Joshua D. Knowles, David W. Corne |
| 2000 | GECCO | Heuristics for Evolutionary Off-line Routing in Telecommunication Networks. | Joshua D. Knowles, David Corne |
| 2000 | PPSN | The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation. | David Corne, Joshua D. Knowles, Martin J. Oates |
| 2000 | PPSN | On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem. | Joshua D. Knowles, David Corne, Martin J. Oates |
| 1999 | CEC | The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. | Joshua D. Knowles, David Corne |