Andrew J. Parkes

According to our database, Andrew J. Parkes authored at least 62 papers between 1995 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Enhancing Security via Deliberate Unpredictability of Solutions in Optimisation.

Daniel Karapetyan, Andrew J. Parkes

CoRR, 2021

2020

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

Soft Comput., 2020

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

Semidefinite Programming in Timetabling and Mutual-Exclusion Scheduling.

Jakub Marecek, Andrew J. Parkes

CoRR, 2019

A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening.

Grazziela P. Figueredo, Peng Shi, Andrew J. Parkes, Keith Evans, Jonathan M. Garibaldi, Ola Negm, Patrick James Tighe, Herbert F. Sewell, John Robertson

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A guide to conic optimisation and its applications.

Adam N. Letchford, Andrew J. Parkes

RAIRO Oper. Res., 2018

Learning the Quality of Dispatch Heuristics Generated by Automated Programming.

Andrew J. Parkes, Neema Beglou, Ender Özcan

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers.

Daniel Karapetyan, Andrew J. Parkes, Thomas Stützle

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017

International portfolio optimisation with integrated currency overlay costs and constraints.

Nonthachote Chatsanga, Andrew J. Parkes

Expert Syst. Appl., 2017

Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem.

Daniel Karapetyan, Abraham P. Punnen, Andrew J. Parkes

Eur. J. Oper. Res., 2017

Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios.

Nonthachote Chatsanga, Andrew J. Parkes

CoRR, 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

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

Exploring the landscape of the space of heuristics for local search in SAT.

Andrew W. Burnett, Andrew J. Parkes

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

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

CHAMP: Creating heuristics via many parameters for online bin packing.

Shahriar Asta, Ender Özcan, Andrew J. Parkes

Expert Syst. Appl., 2016

Multi-component approach to the bipartite Boolean quadratic programming problem.

Daniel Karapetyan, Abraham P. Punnen, Andrew J. Parkes

CoRR, 2016

A stochastic local search algorithm with adaptive acceptance for high-school timetabling.

Ahmed Kheiri, Ender Özcan, Andrew J. Parkes

Ann. Oper. Res., 2016

2015

A Software Interface for Supporting the Application of Data Science to Optimisation.

Andrew J. Parkes, Ender Özcan, Daniel Karapetyan

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Hyperion2: a toolkit for {meta-, hyper-} heuristic research.

Alexander E. I. Brownlee, Jerry Swan, Ender Özcan, Andrew J. Parkes

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Heuristic generation via parameter tuning for online bin packing.

Ahmet Yarimcam, Shahriar Asta, Ender Ozcan, Andrew J. Parkes

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

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

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Batched Mode Hyper-heuristics.

Shahriar Asta, Ender Özcan, Andrew J. Parkes

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Dimension reduction in the search for online bin packing policies.

Shahriar Asta, Ender Özcan, Andrew J. Parkes

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Generalizing Hyper-heuristics via Apprenticeship Learning.

Shahriar Asta, Ender Özcan, Andrew J. Parkes, A. Sima Etaner-Uyar

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

An ensemble based Genetic Programming system to predict English football premier league games.

Tianxiang Cui, Jingpeng Li, John Robert Woodward, Andrew J. Parkes

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

The Interleaved Constructive Memetic Algorithm and its application to timetabling.

Ender Özcan, Andrew J. Parkes, Alpay Alkan

Comput. 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

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

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

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

Matrix Analysis of Genetic Programming Mutation.

Andrew J. Parkes, Ender Özcan, Matthew R. Hyde

Proceedings of the Genetic Programming - 15th European Conference, 2012

2011

Evolutionary Squeaky Wheel Optimization: A New Framework for Analysis.

Jingpeng Li, Andrew J. Parkes, Edmund K. Burke

Evol. Comput., 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

Proceedings of the Advances in Artificial Intelligence, 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

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Policy matrix evolution for generation of heuristics.

Ender Özcan, Andrew J. Parkes

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

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

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

University space planning and space-type profiles.

Camille Beyrouthy, Edmund K. Burke, Barry McCollum, Paul McMullan, Andrew J. Parkes

J. Sched., 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

Decomposition, reformulation, and diving in university course timetabling.

Edmund K. Burke, Jakub Marecek, Andrew J. Parkes, Hana Rudová

Comput. Oper. Res., 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

Mapping the performance of heuristics for Constraint Satisfaction.

José Carlos Ortiz-Bayliss, Ender Özcan, Andrew J. Parkes, Hugo Terashima-Marín

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

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

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

2008

A Survey of NP-Complete Puzzles.

Graham Kendall, Andrew J. Parkes, Kristian Spoerer

J. Int. Comput. Games Assoc., 2008

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

Penalising Patterns in Timetables: Novel Integer Programming Formulations.

Edmund K. Burke, Jakub Marecek, Andrew J. Parkes, Hana Rudová

Proceedings of the Operations Research, 2007

2006

The Teaching Space Allocation Problem with Splitting.

Camille Beyrouthy, Edmund K. Burke, Dario Landa Silva, Barry McCollum, Paul McMullan, Andrew J. Parkes

Proceedings of the Practice and Theory of Automated Timetabling VI, 2006

2005

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

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 II: Theory.

Heidi E. Dixon, Matthew L. Ginsberg, Eugene M. Luks, Andrew J. Parkes

J. Artif. Intell. Res., 2004

Implementing a Generalized Version of Resolution.

Heidi E. Dixon, Matthew L. Ginsberg, David K. Hofer, Eugene M. Luks, Andrew J. Parkes

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2002

Scaling Properties of Pure Random Walk on Random 3-SAT.

Andrew J. Parkes

Proceedings of the Principles and Practice of Constraint Programming, 2002

Easy Predictions for the Easy-Hard-Easy Transition.

Andrew J. Parkes

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2000

Satisfiability Algorithms and Finite Quantification.

Matthew L. Ginsberg, Andrew J. Parkes

Proceedings of the KR 2000, 2000

1999

Worldwide Aeronautical Route Planner.

Charles B. McVey, David P. Clements, Barton C. Massey, Andrew J. Parkes

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Supermodels and Robustness.

Matthew L. Ginsberg, Andrew J. Parkes, Amitabha Roy

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Clustering at the Phase Transition.

Andrew J. Parkes

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Tuning Local Search for Satisfiability Testing.

Andrew J. Parkes, Joachim P. Walser

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Logic Program Synthesis by Induction over Horn Clauses.

Andrew J. Parkes, Geraint A. Wiggins

Proceedings of the Logic Programming Synthesis and Transformation, 1995