The LANCS (Lancaster, Nottingham, Cardiff and Southampton) Initiative in Foundational Operational Research: Building Theory for Practice
Lead Research Organisation:
University of Nottingham
Department Name: School of Computer Science
Abstract
The United Kingdom is the home of Operational Research (OR) and itmaintains an application-oriented research tradition which is both trueto its roots and which is also highly distinctive, if not unique. Manyindustries and public services are the beneficiaries of this effort, notleast healthcare, finance, transport and defence. However, the EPSRC/ESRC 2004 International Review of the Research Status of OR in the UK warned thatthis leading position in applied work in OR could be jeopardised in theabsence of a critical mass of researchers developing underpinning theory.In the LANCS (Lancaster, Nottingham, Cardiff, Southampton) initiative,four universities, which have been at the forefront of UK research inOR, have committed to a major expansion of research capacity in itstheoretical foundations, supported by the additional resources availableas a result of the current Science and Innovation call. The universitiesconcerned have already worked together in the creation of NATCOR, anEPSRC-supported initiative aimed at strengthening doctoral programmes inthe mathematics of OR. They have also evidenced their commitment to thesubject by recent decisions (in advance of this call) to investsubstantially in it.In total, the LANCS initiative will oversee additional new investment ofapproximately 12M through the five year period of the award, of whichmore than half comes from the institutions themselves. All theinstitutions have also committed to sustaining this additional capacitybeyond the five year EPSRC funded period. This will have a major impacton the subject. The initiative aims to build and maintain a substantialnew national capacity in its theoretical base by establishing this majorcross-institutional and multi-disciplinary collaboration. Such aprogramme is crucial to support the health of the application orientedresearch which was highlighted as such a strength by the 2004international review. Indeed, the main motivation of this proposal is tounderpin the health of the UK research base in this critically importantarea. This far sighted initiative aims to establish theoreticaladvances in the field which are informed by, and which feed into, realapplications.
Organisations
Publications
Lehre P
(2012)
Black-Box Search by Unbiased Variation
in Algorithmica
Dang D
(2016)
Runtime Analysis of Non-elitist Populations: From Classical Optimisation to Partial Information
in Algorithmica
Abdul-Rahman S
(2011)
A constructive approach to examination timetabling based on adaptive decomposition and ordering
in Annals of Operations Research
Asik Ö
(2009)
Bidirectional best-fit heuristic for orthogonal rectangular strip packing
in Annals of Operations Research
Bayliss C
(2016)
A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty
in Annals of Operations Research
Kheiri A
(2014)
A stochastic local search algorithm with adaptive acceptance for high-school timetabling
in Annals of Operations Research
Burke E
(2010)
Monte Carlo hyper-heuristics for examination timetabling
in Annals of Operations Research
Qu R
(2014)
Hybridising heuristics within an estimation distribution algorithm for examination timetabling
in Applied Intelligence
Swan J
(2013)
Searching the Hyper-heuristic Design Space
in Cognitive Computation
Özcan E
(2012)
The Interleaved Constructive Memetic Algorithm and its application to timetabling
in Computers & Operations Research
Karapetyan D
(2017)
Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem
in European Journal of Operational Research
Abdul Rahman S
(2014)
Adaptive linear combination of heuristic orderings in constructing examination timetables
in European Journal of Operational Research
Li J
(2011)
Evolutionary squeaky wheel optimization: a new framework for analysis.
in Evolutionary computation
Asta S
(2016)
CHAMP: Creating heuristics via many parameters for online bin packing
in Expert Systems with Applications
Martin S
(2013)
Cooperative search for fair nurse rosters
in Expert Systems with Applications
Özcan E
(2013)
Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing
in Expert Systems with Applications
Pappa G
(2013)
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
in Genetic Programming and Evolvable Machines
Lehre P
(2012)
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
in IEEE Transactions on Evolutionary Computation
Corus D
(2018)
Level-Based Analysis of Genetic Algorithms and Other Search Processes
in IEEE Transactions on Evolutionary Computation
Alam MS
(2022)
Repurposing of existing antibiotics for the treatment of diabetes mellitus.
in In silico pharmacology
Asta S
(2016)
Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem
in Information Sciences
He F
(2014)
A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems
in Information Sciences
Bai R
(2012)
Tabu assisted guided local search approaches for freight service network design
in Information Sciences
Ender Özcan (Author)
(2008)
A Comprehensive Analysis of Hyper-heuristics
in Intelligent Data Analysis
Özcan E
(2010)
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
in International Journal of Applied Metaheuristic Computing
Subhash
(2022)
Synthesis, Spectroscopic Characterization, Biocidal evaluation Molecular Docking & DFT Investigation of 16-18 membered Macrocyclic Complexes of Cobalt (II).
in Journal of chemical sciences (Bangalore, India)
Bykov Y
(2016)
A Step Counting Hill Climbing Algorithm applied to University Examination Timetabling
in Journal of Scheduling
Atkin J
(2011)
A comparison of two methods for reducing take-off delay at London Heathrow airport
in Journal of Scheduling
Ravizza S
(2013)
A more realistic approach for airport ground movement optimisation with stand holding
in Journal of Scheduling
Kiraz B
(2017)
Selection hyper-heuristics in dynamic environments
in Journal of the Operational Research Society
Bai R
(2017)
A novel approach to independent taxi scheduling problem based on stable matching
in Journal of the Operational Research Society
Ravizza S
(2017)
A combined statistical approach and ground movement model for improving taxi time estimations at airports
in Journal of the Operational Research Society
Burke E
(2017)
Hyper-heuristics: a survey of the state of the art
in Journal of the Operational Research Society
Ravizza S
(2013)
The trade-off between taxi time and fuel consumption in airport ground movement
in Public Transport
Atkin J
(2010)
TSAT allocation at London Heathrow: the relationship between slot compliance, throughput and equity
in Public Transport
Özcan E
(2008)
A case study of memetic algorithms for constraint optimization
in Soft Computing
Kalender M
(2013)
A greedy gradient-simulated annealing selection hyper-heuristic
in Soft Computing
Uludag G
(2013)
A hybrid multi-population framework for dynamic environments combining online and offline learning
in Soft Computing
De Maere G
(2018)
Pruning Rules for Optimal Runway Sequencing
in Transportation Science
Atkin J
(2013)
Addressing the Pushback Time Allocation Problem at Heathrow Airport
in Transportation Science
Andrew Parkes (Author)
(2010)
Properties of Yeditepe Examination Timetabling Benchmark Instances
Karapetyan D
(2016)
Markov Chain methods for the bipartite Boolean quadratic programming problem
Matthew Hyde (Author)
(2009)
Multilevel Search for Evolving the Acceptance Criteria of a Hyper-Heuristic
Kiraz B
(2011)
Applications of Evolutionary Computation
Burke E
(2010)
Handbook of Metaheuristics
Gibbs J
(2010)
Parallel Problem Solving from Nature, PPSN XI
Özcan E
(2011)
Policy matrix evolution for generation of heuristics
De Maere, G
(2016)
Pruning rules for optimal runway sequencing with airline preferences
Description | Strategic growth of operational research in the UK |
Exploitation Route | Strategic growth of operational research in the UK |
Sectors | Digital/Communication/Information Technologies (including Software),Education,Energy,Environment,Financial Services, and Management Consultancy,Healthcare,Manufacturing, including Industrial Biotechology,Transport |