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Integrated Risk Governance via Spatial Complexity Inspired Models and Algorithms (IRGSCIMA)


Project Contacts: Dr Mark Leeson; Dr Xiaobing Hu

Dr Xiaobing Hu - Experienced Marie-Curie International Outgoing Fellow

June 2012 - May 2015

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Integrated Risk Governance (IRG) is a new challenging research topic that urgently demands effective models and algorithms as analysis. This project, by advancing a newly emerging concept in complexity science – spatial complexity inspired models and algorithms (SCIMA), developed a methodological platform of models and algorithms for the study of IRG problems. The methods developed took into account important spatial and/or temporal features in real-world risk systems, and integrated risk management considerations into the model development stage, so as to develop more effective and efficient tools to analyze risk systems and improve risk management.

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Dissemination activities during the project:

Journal Articles

X.B. Hu, M. Wang and E. Di Paolo, “ Calculating Complete and Exact Pareto Front for Multi-Objective Optimization: A New Deterministic Approach for Discrete Problems”, IEEE Transactions on Systems, Man and Cybernetics, Part B, vol.43, no.3, pp. 1088-1101, 2013.

X.B. Hu, M. Wang and M.S. Leeson, “Ripple-Spreading Network Model Optimization by Genetic Algorithm”, Mathematical Problems in Engineering, vol. 2013, article 176206, [15 pages], 2013.

J. Q. Liao, X.B. Hu, M. Wang and M.S. Leeson, “Epidemic Modelling by Ripple-Spreading Network and Genetic Algorithm”, Mathematical Problems in Engineering, vol. 2013, article 506240, [11 pages], 2013.

X.B. Hu and M.S. Leeson, “Evolutionary Computation with Spatial Receding Horizon Control to Minimize Network Coding Resources", The Scientific World Journal, vol. 2014, article 268152 [23 pages], 2014.

X.B. Hu, M. Wang, Q. Ye, Z.-G. Han and M.S. Leeson “Multi-Objective New Product Development by Complete Pareto Front and Ripple-Spreading Algorithm”, Neurocomputing, vol. 142, pp. 4-15, 2014.

X.B. Hu, M. Wang, M.S. Leeson and E. Di Paolo “A Deterministic Agent-Based Path Optimization Method by Mimicking the Spreading of Ripples”, Evolutionary Computation, in press.

Other outputs:

X. B. Hu, “Ripple- Spreading Models and Algorithms for Integrated Risk Governance”, 4th International Disaster Risk Conference Davos 2012 (IDRC Davos 2012), Davos, Switzerland, 26-30 Aug 2012.

J.Q. Liao, X.B. Hu, M. Wang, M.S. Leeson, E.L. Hines, and E. Di Paolo, “A Ripple-Spreading Network Model For The Study Of Infectious Disease Transmission”, the 5th International Conference on BioMedical Engineering and Informatics (BMEI 2012), Chongqing, China, 16-18 Oct 2012.

X.B. Hu, M. Wang, D. Hu, M.S. Leeson, E.L. Hines, and E. Di Paolo, “A Ripple-Spreading Algorithm for the k Shortest Paths Problem,” the 3rd Global Congress on Intelligent Systems (GCIS 2012), Wuhan, China, 6-8 Nov 2012.

X. B. Hu, M. Wang, M. S. Leeson, Q. Sun and E. Di Paolo, “A Ripple-Spreading Algorithm for Route Optimization”, 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), Singapore, 16-19 April 2013, paper SS-0029.

X. B. Hu, M. Wang, M. S. Leeson, Q. Sun and E. Di Paolo, “A Ripple-Spreading Algorithm to Calculate the k Best Solutions to the Project Time Management Problem", 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013),Singapore, 16-19 April 2013, paper SS-0122.

X. B. Hu, “Idea of aging and Health risk Management decision-Making simulation visualization experimental platform based on complex system”, 2nd GRF One Health Summit 2013, Davos, Switzerland, 17-20 Nov 2013.

“Review and Prospects of Comprehensive Disaster Reduction in China in the Past 25 Years”, Beijing Normal University, Report for the Chinese Central Government to the United Nations, April 2014.

“Meet the Researcher”: Dr. Hu, Xiaobing, Marie Curie Outgoing fellow in School of Engineering, University of Warwick, seconded at the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University (ESPRE-BNU), Newsletter of EURAXESS LINKS CHINA, Issue 48, pp. 9-11, 2014.

X. B. Hu and M. S. Leeson, “Genetic Algorithm with Spatial Receding Horizon Control for the Optimization of Facility Locations”, IEEE Congress on Evolutionary Computation 2014 (CEC 2014), Beijing, China, 6-11 July 2014, pp. 903-909.

X.-B. Hu, M. Wang and M. S. Leeson, “Calculating the Complete Pareto Front for a Special Class of Continuous Multi-Objective Optimization Problems”, IEEE Congress on Evolutionary Computation 2014 (CEC 2014), Beijing, China, 6-11 July 2014, pp. 292-297.

H. Li, X.-M. Guo, Z. Xu and X. B. Hu, "A Study on the Spatial Vulnerability of the Civil Aviation Network System in China", 2014 International Conference on Intelligent Transportation Systems (ITSC2014), 8-11 Oct 2014.

 

This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement number 299725.