Automated Schematization for Web Service Applications. - Jerry Swan; Suchith Anand; J. Mark Ware; Mike Jackson 004 (W2GIS, 2007)

A Syntactic Approach to Prediction. - John Robert Woodward; Jerry Swan (Algorithmic Probability and Friends, 2011)

Automatically designing selection heuristics. - John Robert Woodward; Jerry Swan (GECCO (Companion), 2011)

Hyperion - A Recursive Hyper-Heuristic Framework. - Jerry Swan; Ender Özcan; Graham Kendall (LION, 2011)

Efficiency issues in the kbmag procedure. - Jerry Swan (J. Log. Algebraic Methods Program., 2011)

The automatic generation of mutation operators for genetic algorithms. - John Robert Woodward; Jerry Swan (GECCO (Companion), 2012)

A Comparison of Acceptance Criteria for the Daily Car-Pooling Problem. - Jerry Swan; John H. Drake; Ender Özcan; James Goulding; John Robert Woodward (ISCIS, 2012)

Fitness Landscapes and the Andrews-Curtis Conjecture. - Jerry Swan; Gabriela Ochoa; Graham Kendall; Martin Edjvet (Int. J. Algebra Comput., 2012)

Guiding Evolutionary Learning by Searching for Regularities in Behavioral Trajectories: A Case for Representation Agnosticism. - Krzysztof Krawiec; Jerry Swan (AAAI Fall Symposia, 2013)

Pattern-guided genetic programming. - Krzysztof Krawiec; Jerry Swan (GECCO, 2013)

Hyperion2: a toolkit for {meta-, hyper-} heuristic research. - Alexander E. I. Brownlee; Jerry Swan; Ender Özcan; Andrew J. Parkes (GECCO (Companion), 2014)

Structural stigmergy: a speculative pattern language for metaheuristics. - Ben Kovitz; Jerry Swan (GECCO (Companion), 2014)

Tagging in metaheuristics. - Ben Kovitz; Jerry Swan (GECCO (Companion), 2014)

The executable experimental template pattern for the systematic comparison of metaheuristics: Extended Abstract. - Geoffrey Neumann; Jerry Swan; Mark Harman; John A. Clark (GECCO (Companion), 2014)

The 'representative' metaheuristic design pattern. - Jerry Swan; Zoltan A. Kocsis; Alexei Lisitsa 001 (GECCO (Companion), 2014)

Benchmarks that matter for genetic programming. - John R. Woodward; Simon Martin 003; Jerry Swan (GECCO (Companion), 2014)

Template method hyper-heuristics. - John Robert Woodward; Jerry Swan (GECCO (Companion), 2014)

The 'composite' design pattern in metaheuristics. - John R. Woodward; Jerry Swan; Simon Martin 003 (GECCO (Companion), 2014)

Repairing and Optimizing Hadoop hashCode Implementations. - Zoltan A. Kocsis; Geoffrey Neumann; Jerry Swan; Michael G. Epitropakis; Alexander E. I. Brownlee; Saemundur O. Haraldsson; Edward Bowles (SSBSE, 2014)

Searching the Hyper-heuristic Design Space. - Jerry Swan; John R. Woodward; Ender Özcan; Graham Kendall; Edmund K. Burke (Cogn. Comput., 2014)

On Irreducible Cyclic Presentations of the Trivial Group. - Martin Edjvet; Jerry Swan (Exp. Math., 2014)

Effective learning hyper-heuristics for the course timetabling problem. - Jorge Alberto Soria-Alcaraz; Gabriela Ochoa; Jerry Swan; Juan Martín Carpio; Héctor Puga; Edmund K. Burke (Eur. J. Oper. Res., 2014)

Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. - Gisele L. Pappa; Gabriela Ochoa; Matthew R. Hyde; Alex Alves Freitas; John R. Woodward; Jerry Swan (Genet. Program. Evolvable Mach., 2014)

Templar - A Framework for Template-Method Hyper-Heuristics. - Jerry Swan; Nathan Burles (EuroGP, 2015)

Metaheuristic Design Pattern: Surrogate Fitness Functions. - Alexander E. I. Brownlee; John R. Woodward; Jerry Swan (GECCO (Companion), 2015)

Embedded Dynamic Improvement. - Nathan Burles; Jerry Swan; Edward Bowles; Alexander E. I. Brownlee; Zoltan A. Kocsis; Nadarajen Veerapen (GECCO (Companion), 2015)

The 'Blackboard Pattern' for Metaheuristics. - Kevin Carrie Graham; Jerry Swan; Simon Martin 003 (GECCO (Companion), 2015)

Behavioral Program Synthesis: Insights and Prospects. - Krzysztof Krawiec; Jerry Swan; Una-May O'Reilly (GPTP, 2015)

Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. - Nathan Burles; Edward Bowles; Alexander E. I. Brownlee; Zoltan A. Kocsis; Jerry Swan; Nadarajen Veerapen (SSBSE, 2015)

Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics. - Zoltan A. Kocsis; Alexander E. I. Brownlee; Jerry Swan; Richard Senington (SSBSE, 2015)

Parallel Meta-heuristic Approaches to the Course Timetabling Problem. - Jorge Alberto Soria-Alcaraz; Juan Martín Carpio Valadez; Héctor Puga; Jerry Swan; Patricia Melin; Hugo Terashima; Marco Aurelio Sotelo-Figueroa (Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, 2015)

Iterative Cartesian Genetic Programming: Creating General Algorithms for Solving Travelling Salesman Problems. - Patricia Ryser-Welch; Julian F. Miller; Jerry Swan; Martin A. Trefzer (EuroGP, 2016)

Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction. - Zoltan A. Kocsis; John H. Drake; Douglas Carson; Jerry Swan (GECCO (Companion), 2016)

Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning. - Jerry Swan; Krzysztof Krawiec (GPTP, 2016)

Variable Neighbourhood Search: A case study for a highly-constrained workforce scheduling problem. - Kenneth N. Reid; Jingpeng Li 001; Jerry Swan; Alistair McCormick; Gilbert Owusu (SSCI, 2016)

Iterated local search using an add and delete hyper-heuristic for university course timetabling. - Jorge Alberto Soria-Alcaraz; Ender Özcan; Jerry Swan; Graham Kendall; Juan Martín Carpio Valadez (Appl. Soft Comput., 2016)

Distance Metric Ensemble Learning and the Andrews-Curtis Conjecture. - Krzysztof Krawiec; Jerry Swan (CoRR, 2016)

Harmonic analysis and resynthesis of Sliding-Tile Puzzle heuristics. - Jerry Swan (CEC, 2017)

Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants. - John H. Drake; Jerry Swan; Geoffrey Neumann; Ender Özcan (EvoCOP, 2017)

Polytypic Genetic Programming. - Jerry Swan; Krzysztof Krawiec; Neil Ghani (EvoApplications (2), 2017)

Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka. - David R. White 003; Leonid Joffe; Edward Bowles; Jerry Swan (EvoApplications (2), 2017)

Counterexample-driven genetic programming. - Krzysztof Krawiec; Iwo Bladek; Jerry Swan (GECCO, 2017)

Dependency Injection for Programming by Optimization. - Zoltan A. Kocsis; Jerry Swan (CoRR, 2017)

Search-Based Energy Optimization of Some Ubiquitous Algorithms. - Alexander E. I. Brownlee; Nathan Burles; Jerry Swan (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution. - Kenneth N. Reid; Jingpeng Li 001; Nadarajen Veerapen; Jerry Swan; Alistair McCormick; Mathias Kern; Gilbert Owusu (CEEC, 2018)

Value-based manufacturing optimisation in serverless clouds for industry 4.0. - Piotr Dziurzanski; Jerry Swan; Leandro Soares Indrusiak (GECCO, 2018)

Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs. - Krzysztof Krawiec; Iwo Bladek; Jerry Swan; John H. Drake (IJCAI, 2018)

Subtype polymorphism à la carte via machine learning on dependent types. - Jerry Swan; Colin G. Johnson; Edwin C. Brady (ISSTA/ECOOP Workshops, 2018)

Counterexample-Driven Genetic Programming: Heuristic Program Synthesis from Formal Specifications. - Iwo Bladek; Krzysztof Krawiec; Jerry Swan (Evol. Comput., 2018)

Genetic Programming + Proof Search = Automatic Improvement. - Zoltan A. Kocsis; Jerry Swan (J. Autom. Reason., 2018)

Quantum Program Synthesis: Swarm Algorithms and Benchmarks. - Timothy Atkinson 001; Athena Karsa; John H. Drake; Jerry Swan (EuroGP, 2019)

Solving the Multi-objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process. - Piotr Dziurzanski; Shuai Zhao 004; Jerry Swan; Leandro Soares Indrusiak; Sebastian Scholze; Karl Krone (EvoApplications, 2019)

A hybrid metaheuristic approach to a real world employee scheduling problem. - Kenneth N. Reid; Jingpeng Li 001; Alexander E. I. Brownlee; Mathias Kern; Nadarajen Veerapen; Jerry Swan; Gilbert Owusu (GECCO, 2019)

Stochastic program synthesis via recursion schemes. - Jerry Swan; Krzysztof Krawiec; Zoltan A. Kocsis (GECCO (Companion), 2019)

Implementing Digital Twins of Smart Factories with Interval Algebra. - Piotr Dziurzanski; Jerry Swan; Leandro Soares Indrusiak; J. M. Ramos (ICIT, 2019)

Extending the "Open-Closed Principle" to Automated Algorithm Configuration. - Jerry Swan; Steven Adriænsen; Adam D. Barwell; Kevin Hammond; David R. White 003 (Evol. Comput., 2019)

Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire. - Jerry Swan; Krzysztof Krawiec; Zoltan A. Kocsis (Genet. Program. Evolvable Mach., 2019)

The Text-Based Adventure AI Competition. - Timothy Atkinson 001; Hendrik Baier; Tara Copplestone; Sam Devlin; Jerry Swan (IEEE Trans. Games, 2019)

Program synthesis as latent continuous optimization: evolutionary search in neural embeddings. - Pawel Liskowski; Krzysztof Krawiec; Nihat Engin Toklu; Jerry Swan (GECCO, 2020)

Towards Metaheuristics "In the Large". - Jerry Swan; Steven Adriænsen; Alexander E. I. Brownlee; Colin G. Johnson; Ahmed Kheiri; Faustyna Krawiec; Juan Julián Merelo Guervós; Leandro L. Minku; Ender Özcan; Gisele L. Pappa; Pablo García-Sánchez; Kenneth Sörensen; et al. (CoRR, 2020)

Conflict-free routing of multi-stop warehouse trucks. - Alexander E. I. Brownlee; Jerry Swan; Richard Senington; Zoltan A. Kocsis (Optim. Lett., 2020)

The Holon System: Artificial General Intelligence as ‘Work on Command’. - Bas R. Steunebrink; Jerry Swan; Eric Nivel (IWSSL, 2022)

Metaheuristics "In the Large". - Jerry Swan; Steven Adriænsen; Alexander E. I. Brownlee; Kevin Hammond; Colin G. Johnson; Ahmed Kheiri; Faustyna Krawiec; Juan Julián Merelo; Leandro L. Minku; Ender Özcan; Gisele L. Pappa; Pablo García-Sánchez; et al. (Eur. J. Oper. Res., 2022)

The Road to General Intelligence, 2 - Jerry Swan; Eric Nivel; Neel Kant; Jules Hedges; Timothy Atkinson 001; Bas R. Steunebrink (Springer, 2022)

Host-directed vibroacoustic biosignature of viral respiratory infection. - Andreas Schuh; Michael Morimoto; Piotr Kaszuba; Kevin Hammond; Jerry Swan; Krzysztof Krawiec; Nl Shasha Jumbe (BHI, 2023)

Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis. - Piotr Kaszuba; Andrew Turner; Bartosz Mikulski; Nl Shasha Jumbe; Andreas Schuh; Michael Morimoto; Peter Rexelius; Ryan Hafen; Ron Deiotte; Kevin Hammond; Jerry Swan; Krzysztof Krawiec (GECCO Companion, 2023)

Algebraic Dynamical Systems in Machine Learning. - Iolo Jones; Jerry Swan; Jeffrey Giansiracusa (Appl. Categorical Struct., 2024)