ORCID Profile
0000-0003-0441-4596
Current Organisation
University of Queensland
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Computer Software | Software Engineering | Information Storage, Retrieval And Management | Global Information Systems | Information Systems | Biological Sciences Not Elsewhere Classified | Astronomy And Astrophysics | Programming Techniques | Information Systems Organisation | Computer Hardware | Concurrent Programming | Information Systems Development Methodologies | Astronomical and Space Sciences | Structural Chemistry | Geology | Physical Chemistry (Incl. Structural) | Computer Communications Networks | Other Biological Sciences | Computer Hardware Not Elsewhere Classified | Computer Software Not Elsewhere Classified | Biochemistry And Cell Biology Not Elsewhere Classified | Biochemistry and Cell Biology | Processor Architectures | Artificial Intelligence and Image Processing | Distributed Computing | Computer Hardware not elsewhere classified | Geotectonics | Numerical Computation | Operating Systems | Interorganisational Information Systems | Policy and Administration | Communications Technologies Not Elsewhere Classified | Geology Not Elsewhere Classified | Other Information, Computing And Communication Sciences | Distributed Computing not elsewhere classified | Decision Support And Group Support Systems | Virtual Reality And Related Simulation | Neural Networks, Genetic Alogrithms And Fuzzy Logic | Simulation And Modelling | Public Administration | Web Technologies (excl. Web Search) | Pattern Recognition and Data Mining | Software Engineering | Climatology (Incl. Palaeoclimatology) | Distributed and Grid Systems | Analysis Of Algorithms And Complexity | Mathematical Sciences Not Elsewhere Classified | Social Policy | Diagnostic Applications | Environmental Sciences Not Elsewhere Classified | Mathematical Software | Atomic And Molecular Physics | Numerical Analysis | Interorganisational Information Systems and Web Services |
Information processing services | Application tools and system utilities | Biological sciences | Physical sciences | Technological and organisational innovation | Communication services not elsewhere classified | Application Tools and System Utilities | Data, image and text equipment | Treatments (e.g. chemicals, antibiotics) | Computer hardware and electronic equipment not elsewhere classified | Library and related information services | Other | Computer software and services not elsewhere classified | Other | Studies in human society | Public Services Policy Advice and Analysis | Earth sciences | Network transmission equipment | Chemical sciences | Climate variability | Information and Communication Services not elsewhere classified | Infectious diseases | Diagnostic methods | Scientific instrumentation | Environmentally Sustainable Information and Communication Services not elsewhere classified | Exploration | Application Software Packages (excl. Computer Games) | Information Processing Services (incl. Data Entry and Capture) | Expanding Knowledge in the Information and Computing Sciences | Structure, Delivery and Financing of Community Services | Other
Publisher: Wiley
Date: 25-08-2008
DOI: 10.1002/CPE.1353
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 2003
Publisher: IEEE
Date: 2004
Publisher: IEEE
Date: 05-2011
Publisher: IEEE
Date: 09-2011
Publisher: IEEE
Date: 10-2017
Publisher: IEEE Comput. Soc
Date: 1998
Publisher: IEEE
Date: 12-2015
Publisher: IEEE
Date: 2005
Publisher: Springer Science and Business Media LLC
Date: 06-2004
DOI: 10.1007/BF03040952
Publisher: Elsevier BV
Date: 2005
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: IEEE
Date: 11-2015
DOI: 10.1109/GCE.2014.6
Publisher: IEEE
Date: 2000
Publisher: ACM
Date: 07-05-2007
Publisher: ACM
Date: 21-06-2010
Publisher: IEEE
Date: 10-2017
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 2007
Publisher: Wiley
Date: 2005
DOI: 10.1002/SPE.646
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/ICDM.2013.73
Publisher: Elsevier BV
Date: 03-2014
Publisher: IEEE
Date: 12-2008
Publisher: Elsevier BV
Date: 07-2013
Publisher: Elsevier BV
Date: 07-2003
Publisher: Wiley
Date: 12-10-2009
Publisher: IEEE
Date: 12-2006
Publisher: Elsevier BV
Date: 10-2002
Publisher: IEEE
Date: 09-2010
Publisher: Elsevier BV
Date: 2012
Publisher: Wiley
Date: 24-03-2009
DOI: 10.1002/CPE.1402
Publisher: Elsevier BV
Date: 05-2010
Publisher: Association for Computing Machinery (ACM)
Date: 11-1996
Publisher: Wiley
Date: 25-09-2009
DOI: 10.1002/SPE.932
Publisher: Elsevier BV
Date: 2012
Publisher: Association for Computing Machinery (ACM)
Date: 25-02-2012
Abstract: Traditional debuggers are of limited value for modern scientific codes that manipulate large complex data structures. This paper discusses a novel debug-time assertion, called a "Statistical Assertion", that allows a user to reason about large data structures, and the primitives are parallelised to provide an efficient solution. We present the design and implementation of statistical assertions, and illustrate the debugging technique with a molecular dynamics simulation. We evaluate the performance of the tool on a 12,000 cores Cray XE6.
Publisher: IEEE
Date: 11-2008
Publisher: Wiley
Date: 11-2002
DOI: 10.1002/CPE.690
Abstract: The accelerated development in peer‐to‐peer and Grid computing has positioned them as promising next‐generation computing platforms. They enable the creation of virtual enterprises for sharing resources distributed across the world. However, resource management, application development and usage models in these environments is a complex undertaking. This is due to the geographic distribution of resources that are owned by different organizations or peers. The resource owners of each of these resources have different usage or access policies and cost models, and varying loads and availability. In order to address complex resource management issues, we have proposed a computational economy framework for resource allocation and for regulating supply and demand in Grid computing environments. This framework provides mechanisms for optimizing resource provider and consumer objective functions through trading and brokering services. In a real world market, there exist various economic models for setting the price of services based on supply‐and‐demand and their value to the user. They include commodity market, posted price, tender and auction models. In this paper, we discuss the use of these models for interaction between Grid components to decide resource service value, and the necessary infrastructure to realize each model. In addition to usual services offered by Grid computing systems, we need an infrastructure to support interaction protocols, allocation mechanisms, currency, secure banking and enforcement services. We briefly discuss existing technologies that provide some of these services and show their usage in developing the Nimrod‐G grid resource broker. Furthermore, we demonstrate the effectiveness of some of the economic models in resource trading and scheduling using the Nimrod/G resource broker, with deadline and cost constrained scheduling for two different optimization strategies, on the World‐Wide Grid testbed that has resources distributed across five continents. Copyright © 2002 John Wiley & Sons, Ltd.
Publisher: IEEE
Date: 05-2012
Publisher: Elsevier BV
Date: 2014
Publisher: IEEE
Date: 04-2017
DOI: 10.1109/DCC.2017.46
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2005
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 06-2008
Publisher: Inderscience Publishers
Date: 2007
Publisher: Elsevier BV
Date: 03-2005
Publisher: IEEE
Date: 2007
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 08-2007
DOI: 10.1109/GCC.2007.117
Publisher: American Chemical Society (ACS)
Date: 13-03-2014
DOI: 10.1021/LA404872P
Abstract: New insights into electrochemical kinetics of the flavin adenine dinucleotide (FAD) redox center of glucose-oxidase (GlcOx) immobilized on reduced graphene oxide (rGO), single- and multiwalled carbon nanotubes (SW and MWCNT), and combinations of rGO and CNTs have been gained by application of Fourier transformed AC voltammetry (FTACV) and simulations based on a range of models. A satisfactory level of agreement between experiment and theory, and hence establishment of the best model to describe the redox chemistry of FAD, was achieved with the aid of automated e-science tools. Although still not perfect, use of Marcus theory with a very low reorganization energy (≤0.3 eV) best mimics the experimental FTACV data, which suggests that the process is gated as also deduced from analysis of FTACV data obtained at different frequencies. Failure of the simplest models to fully describe the electrode kinetics of the redox center of GlcOx, including those based on the widely employed Laviron theory is demonstrated, as is substantial kinetic heterogeneity of FAD species. Use of a SWCNT support lifies the kinetic heterogeneity, while a combination of rGO and MWCNT provides a more favorable environment for fast communication between FAD and the electrode.
Publisher: Wiley
Date: 14-01-2015
DOI: 10.1002/JMRS.92
Publisher: Elsevier BV
Date: 2016
Publisher: Springer Science and Business Media LLC
Date: 02-1996
DOI: 10.1007/BF02601642
Publisher: American Association for Cancer Research (AACR)
Date: 13-08-2014
DOI: 10.1158/0008-5472.CAN-14-0218
Abstract: Eph receptor tyrosine kinases are critical for cell–cell communication during normal and oncogenic tissue patterning and tumor growth. Somatic mutation profiles of several cancer genomes suggest EphA3 as a tumor suppressor, but its oncogenic expression pattern and role in tumorigenesis remain largely undefined. Here, we report unexpected EphA3 overexpression within the microenvironment of a range of human cancers and mouse tumor xenografts where its activation inhibits tumor growth. EphA3 is found on mouse bone marrow–derived cells with mesenchymal and myeloid phenotypes, and activation of EphA3+/CD90+/Sca1+ mesenchymal/stromal cells with an EphA3 agonist leads to cell contraction, cell–cell segregation, and apoptosis. Treatment of mice with an agonistic α-EphA3 antibody inhibits tumor growth by severely disrupting the integrity and function of newly formed tumor stroma and microvasculature. Our data define EphA3 as a novel target for selective ablation of the tumor microenvironment and demonstrate the potential of EphA3 agonists for anticancer therapy. Cancer Res 74(16) 4470–81. ©2014 AACR.
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11610113_1
Publisher: IGI Global
Date: 07-2009
Abstract: Wide-area distributed systems offer new opportunities for executing large-scale scientific applications. On these systems, communication mechanisms have to deal with dynamic resource availability and the potential for resource and network failures. Connectivity losses can affect the execution of workflow applications, which require reliable data transport between components. We present the design and implementation of p-channels, an asynchronous and fault-tolerant pipe mechanism suitable for coupling workflow components. Fault-tolerant communication is made possible by persistence, through adaptive caching of pipe segments while providing direct data streaming. We present the distributed algorithm for implementing: (a) caching of pipe data segments (b) asynchronous read operation and (c) communication state transfer to handle dynamic process joins and leaves.
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2000
DOI: 10.1109/4434.895105
Publisher: IEEE
Date: 10-2017
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 09-2015
Publisher: Springer Science and Business Media LLC
Date: 28-04-2007
Publisher: Springer Science and Business Media LLC
Date: 28-06-2008
Publisher: Wiley
Date: 21-05-2015
DOI: 10.1002/CPE.3525
Publisher: IEEE
Date: 05-2007
Publisher: Elsevier BV
Date: 2005
Publisher: Springer Science and Business Media LLC
Date: 04-1995
DOI: 10.1007/BF02577786
Publisher: Springer New York
Date: 2009
Publisher: Elsevier BV
Date: 06-2008
Publisher: Elsevier BV
Date: 05-2010
Publisher: Springer Science and Business Media LLC
Date: 1998
Publisher: The Royal Society
Date: 28-08-2010
Abstract: Cardiac electrophysiology is a mature discipline, with the first model of a cardiac cell action potential having been developed in 1962. Current models range from single ion channels, through very complex models of in idual cardiac cells, to geometrically and anatomically detailed models of the electrical activity in whole ventricles. A critical issue for model developers is how to choose parameters that allow the model to faithfully reproduce observed physiological effects without over-fitting. In this paper, we discuss the use of a parametric modelling toolkit, called N imrod , that makes it possible both to explore model behaviour as parameters are changed and also to tune parameters by optimizing model output. Importantly, N imrod leverages computers on the Grid, accelerating experiments by using available high-performance platforms. We illustrate the use of N imrod with two case studies, one at the cardiac tissue level and one at the cellular level.
Publisher: SPIE
Date: 27-07-2001
DOI: 10.1117/12.434872
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: The Royal Society
Date: 28-08-2011
Abstract: As in many scientific disciplines, modern chemistry involves a mix of experimentation and computer-supported theory. Historically, these skills have been provided by different groups, and range from traditional ‘wet’ laboratory science to advanced numerical simulation. Increasingly, progress is made by global collaborations, in which new theory may be developed in one part of the world and applied and tested in the laboratory elsewhere. e-Science, or cyber-infrastructure, underpins such collaborations by providing a unified platform for accessing scientific instruments, computers and data archives, and collaboration tools. In this paper we discuss the application of advanced e-Science software tools to electrochemistry research performed in three different laboratories – two at Monash University in Australia and one at the University of Oxford in the UK. We show that software tools that were originally developed for a range of application domains can be applied to electrochemical problems, in particular Fourier voltammetry. Moreover, we show that, by replacing ad-hoc manual processes with e-Science tools, we obtain more accurate solutions automatically.
Publisher: Public Library of Science (PLoS)
Date: 06-04-2010
Publisher: ACM Press
Date: 1997
Publisher: Elsevier BV
Date: 02-2023
Publisher: Elsevier BV
Date: 05-2010
Publisher: IEEE
Date: 08-2010
Publisher: IEEE
Date: 12-2006
Publisher: IEEE
Date: 2004
DOI: 10.1109/GRID.2004.23
Publisher: Institution of Engineering and Technology (IET)
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: IEEE
Date: 11-2017
Publisher: Elsevier BV
Date: 05-2013
DOI: 10.1016/J.JCPA.2012.09.005
Abstract: A 7-week-old male Saker falcon died with a history of severe refractory dyspnoea and respiratory signs. Microscopical lesions included moderate to severe lymphoplasmacytic inflammation of the middle ears, conjunctivae, third eyelids, choanae, salivary glands of the tongue, turbinates, larynx, trachea, syrinx and bronchi. The lesions were associated with variable numbers of Cryptosporidium spp., further confirmed by transmission electron microscopy and in-situ hybridization. Cryptosporidium baileyi was identified by DNA sequence analysis. C. baileyi may therefore be a cause of otitis media in raptors as it is in man. It is most likely that the middle ears of the Saker falcon acquired the infection through the eustachian tubes that originate near the pharynx in the oral cavity. This is the first description of otitis media associated with C. baileyi in a bird or a mammal except man.
Publisher: IEEE
Date: 12-2009
Publisher: IEEE
Date: 12-2006
Publisher: Wiley
Date: 08-10-2020
DOI: 10.1002/AJS4.135
Abstract: Big data and advanced computational methods are increasingly being used to inform decision making in social policy globally. As a result, there is a pressing need to identify best practice digital infrastructure design that allows policymakers and social sciences researchers to access, manipulate and use big data soundly and ethically, while identifying and resolving issues that can lead to unintended consequences and adverse social policy outcomes. However, building such digital infrastructure continues to be a technical challenge for users of big social and administrative data. This paper presents a model to evaluate and design best practice infrastructure for the use of big data in social policy. Our model identifies key technical infrastructure considerations for six stages of a data analysis pipeline, namely (1) data storage, (2) data integration, (3) data access, (4) data analysis, (5) data interpretation and (6) data operationalisation. We demonstrate the model via two applications: the E‐Verify online employment rights system and the Australian COVIDSafe app. The model provides a high‐level guide for social policymakers and researchers to consider systematically the relevant technical considerations when designing or upgrading digital infrastructure that uses analytical tools and big datasets from multiple sources.
Publisher: IEEE
Date: 12-2006
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 02-2013
Publisher: ACM
Date: 27-11-2006
Publisher: IEEE
Date: 12-2009
Publisher: IOP Publishing
Date: 06-2010
Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 05-2009
Publisher: Springer Science and Business Media LLC
Date: 06-2011
Publisher: Informa UK Limited
Date: 2004
Publisher: Wiley
Date: 2005
DOI: 10.1002/CPE.888
Publisher: Oxford University Press (OUP)
Date: 08-2011
DOI: 10.1093/ERAE/JBR014
Publisher: Elsevier BV
Date: 02-2013
Publisher: IEEE
Date: 2008
Publisher: American Chemical Society (ACS)
Date: 11-07-2008
DOI: 10.1021/BI8008246
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 2005
Publisher: SAGE Publications
Date: 09-09-2016
Abstract: Energy consumption is one of the top challenges for achieving the next generation of supercomputing. Codesign of hardware and software is critical for improving energy efficiency (EE) for future large-scale systems. Many architectural power-saving techniques have been developed, and most hardware components are approaching physical limits. Accordingly, parallel computing software, including both applications and systems, should exploit power-saving hardware innovations and manage efficient energy use. In addition, new power-aware parallel computing methods are essential to decrease energy usage further. This article surveys software-based methods that aim to improve EE for parallel computing. It reviews the methods that exploit the characteristics of parallel scientific applications, including load imbalance and mixed precision of floating-point (FP) calculations, to improve EE. In addition, this article summarizes widely used methods to improve power usage at different granularities, such as the whole system and per application. In particular, it describes the most important techniques to measure and to achieve energy-efficient usage of various parallel computing facilities, including processors, memories, and networks. Overall, this article reviews the state-of-the-art of energy-efficient methods for parallel computing to motivate researchers to achieve optimal parallel computing under a power budget constraint.
Publisher: Wiley
Date: 25-12-2008
DOI: 10.1002/CPE.1325
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/565431
Abstract: Little is known about how small variations in ionic currents and Ca 2 + and Na + diffusion coefficients impact action potential and Ca 2 + dynamics in rabbit ventricular myocytes. We applied sensitivity analysis to quantify the sensitivity of Shannon et al. model (Biophys. J., 2004) to 5%–10% changes in currents conductance, channels distribution, and ion diffusion in rabbit ventricular cells. We found that action potential duration and Ca 2 + peaks are highly sensitive to 10% increase in L-type Ca 2 + current moderately influenced by 10% increase in Na + - Ca 2 + exchanger, Na + - K + pump, rapid delayed and slow transient outward K + currents, and Cl − background current insensitive to 10% increases in all other ionic currents and sarcoplasmic reticulum Ca 2 + fluxes. Cell electrical activity is strongly affected by 5% shift of L-type Ca 2 + channels and Na + - Ca 2 + exchanger in between junctional and submembrane spaces while Ca 2 + -activated Cl − -channel redistribution has the modest effect. Small changes in submembrane and cytosolic diffusion coefficients for Ca 2 + , but not in Na + transfer, may alter notably myocyte contraction. Our studies highlight the need for more precise measurements and further extending and testing of the Shannon et al. model. Our results demonstrate usefulness of sensitivity analysis to identify specific knowledge gaps and controversies related to ventricular cell electrophysiology and Ca 2 + signaling.
Publisher: IEEE
Date: 12-2009
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 1991
DOI: 10.1287/MNSC.37.1.98
Abstract: This paper considers a solution to the school timetabling problem. The timetabling problem involves scheduling a number of tuples, each consisting of class of students, a teacher, a subject and a room, to a fixed number of time slots. A Monte Carlo scheme called simulated annealing is used as an optimisation technique. The paper introduces the timetabling problem, and then describes the simulated annealing method. Annealing is then applied to the timetabling problem. A prototype timetabling environment is described followed by some experimental results. A parallel algorithm which can be implemented on a multiprocessor is presented. This algorithm can provide a faster solution than the equivalent sequential algorithm. Some further experimental results are given.
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Wiley
Date: 15-11-2007
DOI: 10.1002/CPE.1281
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2014
DOI: 10.1109/TPDS.2013.86
Publisher: IEEE
Date: 12-2008
Publisher: Elsevier BV
Date: 02-2003
Publisher: Elsevier BV
Date: 2014
Publisher: IEEE Comput. Soc
Date: 2001
Publisher: Elsevier BV
Date: 02-2013
Publisher: Wiley
Date: 21-11-2015
DOI: 10.1002/SPE.2239
Publisher: IEEE
Date: 12-2007
Publisher: IEEE
Date: 10-2012
Publisher: IEEE
Date: 2002
Publisher: IEEE
Date: 2004
Publisher: Springer Science and Business Media LLC
Date: 22-08-2010
Publisher: Springer Science and Business Media LLC
Date: 2001
Publisher: IEEE
Date: 05-2007
Publisher: IEEE
Date: 07-2006
Publisher: International Union of Crystallography (IUCr)
Date: 27-02-2014
DOI: 10.1107/S1399004713031787
Abstract: Atomic coordinates in the Worldwide Protein Data Bank (wwPDB) are generally reported to greater precision than the experimental structure determinations have actually achieved. By using information theory and data compression to study the compressibility of protein atomic coordinates, it is possible to quantify the amount of randomness in the coordinate data and thereby to determine the realistic precision of the reported coordinates. On average, the value of each C α coordinate in a set of selected protein structures solved at a variety of resolutions is good to about 0.1 Å.
Publisher: IEEE Comput. Soc
Date: 2001
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11758501_96
Publisher: Elsevier BV
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 30-01-2015
Publisher: ACM
Date: 16-11-2009
Publisher: ACM
Date: 15-11-2015
Publisher: IEEE
Date: 2005
Publisher: Hindawi Limited
Date: 2006
DOI: 10.1155/2006/906394
Abstract: This paper describes a method of parallelisation of the popular Nelder-Mead simplex optimization algorithms that can lead to enhanced performance on parallel and distributed computing resources. A reducing set of simplex vertices are used to derive search directions generally closely aligned with the local gradient. When tested on a range of problems drawn from real-world applications in science and engineering, this reducing set concurrent simplex (RSCS) variant of the Nelder-Mead algorithm compared favourably with the original algorithm, and also with the inherently parallel multidirectional search algorithm (MDS). All algorithms were implemented and tested in a general-purpose, grid-enabled optimization toolset.
Publisher: IEEE
Date: 09-2008
Publisher: Wiley
Date: 09-06-2005
Publisher: Wiley
Date: 10-10-2010
DOI: 10.1002/CPE.1662
Publisher: American Geophysical Union (AGU)
Date: 10-2007
DOI: 10.1029/2007GL030879
Publisher: IEEE
Date: 12-2008
Publisher: Wiley
Date: 2003
DOI: 10.1002/CPE.704
Publisher: IEEE
Date: 2004
Publisher: Oxford University Press (OUP)
Date: 08-1992
Publisher: Springer Science and Business Media LLC
Date: 08-1996
DOI: 10.1007/BF00132573
Publisher: IEEE
Date: 12-2010
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 05-2000
DOI: 10.1287/TRSC.34.2.180.12302
Abstract: In this paper, we consider the problem of scheduling aircraft (plane) landings at an airport. This problem is one of deciding a landing time for each plane such that each plane lands within a predetermined time window and that separation criteria between the landing of a plane and the landing of all successive planes are respected. We present a mixed-integer zero–one formulation of the problem for the single runway case and extend it to the multiple runway case. We strengthen the linear programming relaxations of these formulations by introducing additional constraints. Throughout, we discuss how our formulations can be used to model a number of issues (choice of objective function, precedence restrictions, restricting the number of landings in a given time period, runway workload balancing) commonly encountered in practice. The problem is solved optimally using linear programming-based tree search. We also present an effective heuristic algorithm for the problem. Computational results for both the heuristic and the optimal algorithm are presented for a number of test problems involving up to 50 planes and four runways.
Publisher: ACM
Date: 25-02-2012
Publisher: Oxford University Press (OUP)
Date: 03-1990
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-1992
DOI: 10.1109/2.144393
Publisher: Elsevier BV
Date: 2017
Publisher: ACM
Date: 12-2000
Publisher: IEEE
Date: 10-2012
Publisher: SAGE Publications
Date: 16-11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Publisher: Elsevier BV
Date: 08-2009
Start Date: 04-2022
End Date: 03-2025
Amount: $395,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2008
End Date: 12-2008
Amount: $400,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 12-2011
Amount: $887,743.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2003
End Date: 12-2004
Amount: $308,700.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2010
End Date: 03-2014
Amount: $240,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2008
End Date: 07-2011
Amount: $570,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2016
End Date: 12-2019
Amount: $430,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2006
End Date: 11-2007
Amount: $320,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2005
End Date: 12-2007
Amount: $50,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2012
End Date: 12-2017
Amount: $450,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2003
End Date: 12-2004
Amount: $950,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2011
End Date: 02-2015
Amount: $360,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2003
End Date: 06-2006
Amount: $290,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2005
End Date: 12-2005
Amount: $142,450.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2004
End Date: 12-2003
Amount: $10,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2009
End Date: 12-2011
Amount: $329,524.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2006
End Date: 12-2006
Amount: $800,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2004
End Date: 11-2004
Amount: $30,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2004
End Date: 11-2004
Amount: $10,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2005
End Date: 02-2010
Amount: $1,500,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2007
End Date: 08-2008
Amount: $530,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2004
End Date: 12-2011
Amount: $1,600,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2014
End Date: 07-2015
Amount: $1,000,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2003
End Date: 06-2009
Amount: $5,208,295.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2017
End Date: 07-2021
Amount: $170,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2003
End Date: 12-2004
Amount: $10,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2004
End Date: 12-2004
Amount: $10,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2003
End Date: 12-2004
Amount: $10,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2005
End Date: 12-2007
Amount: $120,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 10-2005
End Date: 12-2007
Amount: $85,000.00
Funder: Australian Research Council
View Funded Activity