A survey of multiple tree visualisation.
Journal Article
Graham, M., & Kennedy, J. (2010)
A survey of multiple tree visualisation. Information Visualization, 9, 235-252. https://doi.org/10.1057/ivs.2009.29
This paper summarises the state-of-the-art in multiple tree visualisations. It discusses the spectrum of current representation techniques used on single trees, pairs of trees...
A Survey of Speculative Execution Strategy in MapReduce
Conference Proceeding
Liu, Q., Jin, D., Liu, X., & Linge, N. (2016)
A Survey of Speculative Execution Strategy in MapReduce. In A. Liu, H. C. Chao, E. Bertino, & X. Sun (Eds.), Cloud Computing and Security. , (296-307). https://doi.org/10.1007/978-3-319-48671-0_27
MapReduce is a parallel computing programming model designed to process large-scale data. Therefore, the accuracy and efficiency for computing are needed to be assured and spe...
Real Time Optimisation of Traffic Signals to Prioritise Public Transport
Conference Proceeding
Plötz, P., Wittpohl, M., & Urquhart, N. (2021)
Real Time Optimisation of Traffic Signals to Prioritise Public Transport. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021 (162-177). https://doi.org/10.1007/978-3-030-72699-7_11
This paper examines the optimisation of traffic signals to prioritise public transportation (busses) in real time. A novel representation for the traffic signal prioritisation...
An Upper Ontology for Benefits Management of Cloud Computing
Journal Article
Greenwell, R., Liu, X., & Chalmers, K. (2014)
An Upper Ontology for Benefits Management of Cloud Computing. International Journal of Advanced Computer Science and Applications, 5(12), https://doi.org/10.14569/IJACSA.2014.051211
Benefits Management provides an established approach for decision making and value extraction for IT/IS investments and, can be used to examine cloud computing investments. Th...
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights.
Conference Proceeding
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000)
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. In D. Whitley (Ed.), GECCO-2000 : proceedings of the genetic and evolutionary computation conference, 128-134
This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction
problems (CSPs). In some approaches, the penalt...
An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics
Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2017)
An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. , (155-162). https://doi.org/10.1145/3071178.3071232
A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. How...
Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach
Conference Proceeding
Guifa Teng, , Hong Su, , Xiaodong Liu, , & Tiger Wang, . (2006)
Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach. In First International Conference on Innovative Computing, Information and Control, 2006. ICICIC '06doi:10.1109/icicic.2006.309
Despite the emergent business needs and technical efforts by both industrial and research communities, e-business market intelligence (EMI) still faces many obstacles hinderin...
An adaptive approach to better load balancing in a consumer-centric cloud environment
Journal Article
Liu, Q., Cai, W., Shen, J., Liu, X., & Linge, N. (2016)
An adaptive approach to better load balancing in a consumer-centric cloud environment. IEEE Transactions on Consumer Electronics, 62(3), 243-250. https://doi.org/10.1109/tce.2016.7613190
Pay-as-you-consume, as a new type of cloud computing paradigm, has become increasingly popular since a large number of cloud services are gradually opening up to consumers. It...
Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs
Conference Proceeding
Stone, C., Hart, E., & Paechter, B. (2017)
Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs. In Applications of Evolutionary Computation, 578-593
In many industrial problem domains, when faced with a combinatorial optimisation problem, a “good enough, quick enough” solution to a problem is often required. Simple heurist...
A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction
Journal Article
Liu, Q., Zou, Y., & Liu, X. (2019)
A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction. Computer Modeling in Engineering and Sciences, 119(3), 617-637. https://doi.org/10.32604/cmes.2019.06272
Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM2.5 (a particulate matter ...