Logic Program Synthesis by Induction over Horn Clauses. - Andrew J. Parkes; Geraint A. Wiggins (LOPSTR, 1995)

Tuning Local Search for Satisfiability Testing. - Andrew J. Parkes; Joachim P. Walser (AAAI/IAAI, Vol. 1, 1996)

Clustering at the Phase Transition. - Andrew J. Parkes (AAAI/IAAI, 1997)

Supermodels and Robustness. - Matthew L. Ginsberg; Andrew J. Parkes; Amitabha Roy 001 (AAAI/IAAI, 1998)

Worldwide Aeronautical Route Planner. - Charles B. McVey; David P. Clements; Barton C. Massey; Andrew J. Parkes (AAAI/IAAI, 1999)

Satisfiability Algorithms and Finite Quantification. - Matthew L. Ginsberg; Andrew J. Parkes (KR, 2000)

Easy Predictions for the Easy-Hard-Easy Transition. - Andrew J. Parkes (AAAI/IAAI, 2002)

Scaling Properties of Pure Random Walk on Random 3-SAT. - Andrew J. Parkes (CP, 2002)

Implementing a Generalized Version of Resolution. - Heidi E. Dixon; Matthew L. Ginsberg; David K. Hofer; Eugene M. Luks; Andrew J. Parkes (AAAI, 2004)

Generalizing Boolean Satisfiability II: Theory. - Heidi E. Dixon; Matthew L. Ginsberg; Eugene M. Luks; Andrew J. Parkes (J. Artif. Intell. Res., 2004)

Generalizing Boolean Satisfiability I: Background and Survey of Existing Work. - Heidi E. Dixon; Matthew L. Ginsberg; Andrew J. Parkes (J. Artif. Intell. Res., 2004)

Generalizing Boolean Satisfiability III: Implementation. - Heidi E. Dixon; Matthew L. Ginsberg; David K. Hofer; Eugene M. Luks; Andrew J. Parkes (J. Artif. Intell. Res., 2005)

The Teaching Space Allocation Problem with Splitting. - Camille Beyrouthy; Edmund K. Burke; Dario Landa Silva; Barry McCollum; Paul McMullan; Andrew J. Parkes (PATAT, 2006)

Penalising Patterns in Timetables: Novel Integer Programming Formulations. - Edmund K. Burke; Jakub Marecek; Andrew J. Parkes; Hana Rudová (OR, 2007)

On a Clique-Based Integer Programming Formulation of Vertex Colouring with Applications in Course Timetabling - Edmund K. Burke; Jakub Marecek; Andrew J. Parkes; Hana Rudová (CoRR, 2007)

A Survey of NP-Complete Puzzles. - Graham Kendall; Andrew J. Parkes; Kristian Spoerer (J. Int. Comput. Games Assoc., 2008)

An investigation of fuzzy multiple heuristic orderings in the construction of university examination timetables. - Hishammuddin Asmuni; Edmund K. Burke; Jonathan M. Garibaldi; Barry McCollum; Andrew J. Parkes (Comput. Oper. Res., 2009)

Towards improving the utilization of university teaching space. - Camille Beyrouthy; Edmund K. Burke; Dario Landa-Silva; Barry McCollum; Paul McMullan; Andrew J. Parkes (J. Oper. Res. Soc., 2009)

Mapping the performance of heuristics for Constraint Satisfaction. - José Carlos Ortiz-Bayliss; Ender Özcan; Andrew J. Parkes; Hugo Terashima-Marín (IEEE Congress on Evolutionary Computation, 2010)

A supernodal formulation of vertex colouring with applications in course timetabling. - Edmund K. Burke; Jakub Marecek; Andrew J. Parkes; Hana Rudová (Ann. Oper. Res., 2010)

Decomposition, reformulation, and diving in university course timetabling. - Edmund K. Burke; Jakub Marecek; Andrew J. Parkes; Hana Rudová (Comput. Oper. Res., 2010)

Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition. - Barry McCollum; Andrea Schaerf; Ben Paechter; Paul McMullan; Rhydian Lewis; Andrew J. Parkes; Luca Di Gaspero; Rong Qu; Edmund K. Burke (INFORMS J. Comput., 2010)

University space planning and space-type profiles. - Camille Beyrouthy; Edmund K. Burke; Barry McCollum; Paul McMullan; Andrew J. Parkes (J. Sched., 2010)

On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Ender Özcan; Andrew J. Parkes (GECCO (Companion), 2011)

Policy matrix evolution for generation of heuristics. - Ender Özcan; Andrew J. Parkes (GECCO, 2011)

The Cross-Domain Heuristic Search Challenge - An International Research Competition. - Edmund K. Burke; Michel Gendreau; Matthew R. Hyde; Graham Kendall; Barry McCollum; Gabriela Ochoa; Andrew J. Parkes; Sanja Petrovic (LION, 2011)

Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Ender Özcan; Andrew J. Parkes; Santiago Enrique Conant-Pablos (MICAI (1), 2011)

Evolutionary Squeaky Wheel Optimization: A New Framework for Analysis. - Jingpeng Li 001; Andrew J. Parkes; Edmund K. Burke (Evol. Comput., 2011)

Matrix Analysis of Genetic Programming Mutation. - Andrew J. Parkes; Ender Özcan; Matthew R. Hyde (EuroGP, 2012)

HyFlex: A Benchmark Framework for Cross-Domain Heuristic Search. - Gabriela Ochoa; Matthew R. Hyde; Timothy Curtois; José Antonio Vázquez Rodríguez; James D. Walker; Michel Gendreau; Graham Kendall; Barry McCollum; Andrew J. Parkes; Sanja Petrovic; Edmund K. Burke (EvoCOP, 2012)

Improving the performance of vector hyper-heuristics through local search. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos; Ender Özcan; Andrew J. Parkes (GECCO, 2012)

A branch-and-cut procedure for the Udine Course Timetabling problem. - Edmund K. Burke; Jakub Marecek; Andrew J. Parkes; Hana Rudová (Ann. Oper. Res., 2012)

A new model for automated examination timetabling. - Barry McCollum; Paul McMullan; Andrew J. Parkes; Edmund K. Burke; Rong Qu (Ann. Oper. Res., 2012)

The Interleaved Constructive Memetic Algorithm and its application to timetabling. - Ender Özcan; Andrew J. Parkes; Alpay Alkan (Comput. Oper. Res., 2012)

Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Ender Ozcan; Andrew J. Parkes; Santiago E. Conant-Pablos (IEEE Congress on Evolutionary Computation, 2013)

An ensemble based Genetic Programming system to predict English football premier league games. - Tianxiang Cui; Jingpeng Li 001; John Robert Woodward; Andrew J. Parkes (EAIS, 2013)

Generalizing Hyper-heuristics via Apprenticeship Learning. - Shahriar Asta; Ender Özcan; Andrew J. Parkes; A. Sima Etaner-Uyar (EvoCOP, 2013)

Dimension reduction in the search for online bin packing policies. - Shahriar Asta; Ender Özcan; Andrew J. Parkes (GECCO (Companion), 2013)

Batched Mode Hyper-heuristics. - Shahriar Asta; Ender Özcan; Andrew J. Parkes (LION, 2013)

A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction. - José Carlos Ortiz-Bayliss; Ender Ozcan; Andrew J. Parkes; Hugo Terashima-Marín (UKCI, 2013)

Heuristic generation via parameter tuning for online bin packing. - Ahmet Yarimcam; Shahriar Asta; Ender Ozcan; Andrew J. Parkes (EALS, 2014)

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

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices. - Tianxiang Cui; Ruibin Bai; Andrew J. Parkes; Fang He; Rong Qu; Jingpeng Li 001 (CEC, 2015)

A Software Interface for Supporting the Application of Data Science to Optimisation. - Andrew J. Parkes; Ender Özcan; Daniel Karapetyan (LION, 2015)

A stochastic local search algorithm with adaptive acceptance for high-school timetabling. - Ahmed Kheiri; Ender Özcan; Andrew J. Parkes (Ann. Oper. Res., 2016)

Multi-component approach to the bipartite Boolean quadratic programming problem. - Daniel Karapetyan; Abraham P. Punnen; Andrew J. Parkes (CoRR, 2016)

CHAMP: Creating heuristics via many parameters for online bin packing. - Shahriar Asta; Ender Özcan; Andrew J. Parkes (Expert Syst. Appl., 2016)

Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem. - Shahriar Asta; Daniel Karapetyan; Ahmed Kheiri; Ender Özcan; Andrew J. Parkes (Inf. Sci., 2016)

Exploring the landscape of the space of heuristics for local search in SAT. - Andrew W. Burnett; Andrew J. Parkes (CEC, 2017)

Lessons from building an automated pre-departure sequencer for airports. - Daniel Karapetyan; Jason A. D. Atkin; Andrew J. Parkes; Juan Castro-Gutierrez (Ann. Oper. Res., 2017)

Fairness in examination timetabling: Student preferences and extended formulations. - Ahmad Muklason; Andrew J. Parkes; Ender Özcan; Barry McCollum; Paul McMullan (Appl. Soft Comput., 2017)

Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios. - Nonthachote Chatsanga; Andrew J. Parkes (CoRR, 2017)

Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem. - Daniel Karapetyan; Abraham P. Punnen; Andrew J. Parkes (Eur. J. Oper. Res., 2017)

International portfolio optimisation with integrated currency overlay costs and constraints. - Nonthachote Chatsanga; Andrew J. Parkes (Expert Syst. Appl., 2017)

Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers. - Daniel Karapetyan; Andrew J. Parkes; Thomas Stützle (LION, 2018)

Learning the Quality of Dispatch Heuristics Generated by Automated Programming. - Andrew J. Parkes; Neema Beglou; Ender Özcan (LION, 2018)

A guide to conic optimisation and its applications. - Adam N. Letchford; Andrew J. Parkes (RAIRO Oper. Res., 2018)

A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. - Grazziela P. Figueredo; Peng Shi 017; Andrew J. Parkes; Keith Evans; Jonathan M. Garibaldi; Ola Negm; Patrick James Tighe; Herbert F. Sewell; John Robertson (CEC, 2019)

Semidefinite Programming in Timetabling and Mutual-Exclusion Scheduling. - Jakub Marecek; Andrew J. Parkes (CoRR, 2019)

Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints. - Daniel Karapetyan; Andrew J. Parkes; Gregory Z. Gutin; Andrei Gagarin (J. Artif. Intell. Res., 2019)

A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. - Tianxiang Cui; Ruibin Bai; Shusheng Ding; Andrew J. Parkes; Rong Qu; Fang He; Jingpeng Li 001 (Soft Comput., 2020)

Enhancing Security via Deliberate Unpredictability of Solutions in Optimisation. - Daniel Karapetyan; Andrew J. Parkes (CoRR, 2021)

Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning. - Yong En Kok; Alexander Bentley; Andrew J. Parkes; Amanda J. Wright; Michael G. Somekh; Michael P. Pound (CoRR, 2024)

Application of RESNET50 Convolution Neural Network for the Extraction of Optical Parameters in Scattering Media. - Bowen Deng; Yihan Zhang; Andrew J. Parkes; Alexander Bentley; Amanda Wright; Michael P. Pound; Michael G. Somekh (CoRR, 2024)