| 2025 | GECCO | Local Optima Networks (LONs) and Search Trajectory Networks (STNs) for Noisy Combinatorial Problems. | John Payne, Aishwaryaprajna, David Walker, Edward C. Keedwell |
| 2025 | GECCO | Learning Grouping Heuristics in Ant Colony Optimization for Combinatorial Problems. | Aseel Ismael Ali, Edward C. Keedwell, Ayah Helal |
| 2025 | GECCO | Memory-Assisted Genetic Algorithm for Signal Timing Optimization in Traffic Networks. | Sahar Kianian, Edward C. Keedwell, Aidan Bennett |
| 2024 | GECCO | A Differential Pheromone Grouping Ant Colony Optimization Algorithm for the 1-D Bin Packing Problem. | Aseel Ismael Ali, Edward C. Keedwell, Ayah Helal |
| 2023 | GECCO | Multi-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution Networks. | Matthew Hayslep, Edward C. Keedwell, Raziyeh Farmani |
| 2023 | GECCO | Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. | James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell |
| 2022 | GECCO | Selection hyper-heuristics. | Ahmed Kheiri, Edward C. Keedwell |
| 2022 | GECCO | Networks of evolution: modelling and deconstructing genetic algorithms using dynamic networks. | Clodomir J. Santana Jr., Edward C. Keedwell, Ronaldo Menezes |
| 2021 | GECCO | Wastewater systems planned maintenance scheduling using multi-objective optimisation. | Sabrina Draude, Edward C. Keedwell, Zoran Kapelan, Rebecca Hiscock |
| 2021 | GECCO | Learning assignment order in an ant colony optimiser for the university course timetabling problem. | James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell |
| 2020 | GECCO | Adaptive augmented evolutionary intelligence for the design of water distribution networks. | Matthew Barrie Johns, Herman A. Mahmoud, Edward C. Keedwell, Dragan A. Savic |
| 2020 | GECCO | An approach to assess swarm intelligence algorithms based on complex networks. | Clodomir J. Santana Jr., Edward C. Keedwell, Ronaldo Menezes |
| 2019 | GECCO | EMOCS: evolutionary multi-objective optimisation for clinical scorecard generation. | Diane P. Fraser, Edward C. Keedwell, Stephen L. Michell, Ray Sheridan |
| 2019 | GECCO | Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation. | Matthew Barrie Johns, Herman A. Mahmoud, David J. Walker, Nicholas D. F. Ross, Edward C. Keedwell, Dragan A. Savic |
| 2019 | GECCO | Human-evolutionary problem solving through gamification of a bin-packing problem. | Nicholas D. F. Ross, Matthew Barrie Johns, Edward C. Keedwell, Dragan A. Savic |
| 2019 | GECCO | Analysing heuristic subsequences for offline hyper-heuristic learning. | William B. Yates, Edward C. Keedwell |
| 2018 | SMC | A Novel Population Initialization Method Based on Support Vector Machine. | Edward C. Keedwell, Mathieu Brvilliers, Lhassane Idoumghar, Julien Lepagnot, Hojjat Rakhshani |
| 2017 | GECCO | Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning. | William B. Yates, Edward C. Keedwell |
| 2015 | GECCO | Spatial and Temporal Visualisation of Evolutionary Algorithm Decisions in Water Distribution Network Optimisation. | Edward C. Keedwell, Matthew Barrie Johns, Dragan A. Savic |
| 2014 | ICNC | An evolutionary computational approach to phase and synchronization in biological circuits. | Ajit Narayanan, Edward C. Keedwell |
| 2013 | GECCO | Pipe smoothing genetic algorithm for least cost water distribution network design. | Matthew Barrie Johns, Edward C. Keedwell, Dragan A. Savic |
| 2011 | GECCO | Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems. | Kent McClymont, Edward C. Keedwell |