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Hopgood Adrian

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Main Referenced Co-authors
Gongora, Mario A. (6)
Matthews, Stephen G. (5)
Ahmadi, Samad (3)
Almaraashi, Majid (3)
John, Robert (3)
Main Referenced Keywords
Genetic algorithm (3); fuzzy association rules (2); multi-objective evolutionary algorithm (2); temporal association rules (2); UMTS (2);
Main Referenced Disciplines
Computer science (20)
Electrical & electronics engineering (5)
Production, distribution & supply chain management (2)

Publications (total 20)

The most downloaded
796 downloads
Almaraashi, M., John, R., Hopgood, A., & Ahmadi, S. (2016). Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice. Information Sciences, 360, 21–42. doi:10.1016/j.ins.2016.03.047 https://hdl.handle.net/2268/196366

The most cited

49 citations (Scopus®)

Almaraashi, M., John, R., Hopgood, A., & Ahmadi, S. (2016). Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice. Information Sciences, 360, 21–42. doi:10.1016/j.ins.2016.03.047 https://hdl.handle.net/2268/196366

Khmeleva, E., Hopgood, A., Tipi, L., & Shahidan, M. (2018). Fuzzy-Logic Controlled Genetic Algorithm for the Rail-Freight Crew-Scheduling Problem. Kuenstliche Intelligenz, 32 (1), 61–75. doi:10.1007/s13218-017-0516-6
Peer Reviewed verified by ORBi

Almaraashi, M., John, R., Hopgood, A., & Ahmadi, S. (2016). Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice. Information Sciences, 360, 21–42. doi:10.1016/j.ins.2016.03.047
Peer Reviewed verified by ORBi

Myint, H., Wong, P., Dooley, L., & Hopgood, A. (2016). Tracking a table tennis ball for umpiring purposes using a multi-agent system. In Proceedings of the 20th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'16) (pp. 119-125). World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
Peer reviewed

Myint, H., Wong, P., Dooley, L., & Hopgood, A. (2015). Tracking a table tennis ball for umpiring purposes. In Machine Vision Applications (MVA), 2015 14th IAPR International Conference on,  (pp. 170-173). IEEE. doi:10.1109/MVA.2015.7153160
Peer reviewed

Daoud, M. S., Hopgood, A., Al-Fayoumi, M. A., & Mimi, H. M. (2014). A new routing area displacement prediction for Location-Based Services based on an enhanced ant colony, . In Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on,  (pp. 3247-3252). doi:10.1109/smc.2014.6974428
Peer reviewed

Almaraashi, M., John, R., & Hopgood, A. (2014). Automatic Learning of General Type-2 Fuzzy Logic Systems using Simulated Annealing. In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014) (pp. 2384-2390). IEEE.
Peer reviewed

Daoud, M. S., Ayesh, A., Al-Fayoumi, M., & Hopgood, A. (2014). Location Prediction Based on a Sector Snapshot for Location-Based Services. Journal of Network and Systems Management, 22 (1), 23-49. doi:10.1007/s10922-012-9258-9
Peer Reviewed verified by ORBi

Khmeleva, E., Hopgood, A., Tipi, L., & Shahidan, M. (2014). Rail-Freight Crew Scheduling with a Genetic Algorithm. In M. Bramer & M. Petridis (Eds.), Research and Development in Intelligent Systems XXXI (pp. 211-223). Springer. doi:10.1007/978-3-319-12069-0_16
Peer reviewed

El-Mihoub, T. A., Hopgood, A., & Aref, I. A. (2013). Accelerating Genetic Schema Processing Through Local Search. In Sadikin, R Subekti, A (Ed.), 2013 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL, INFORMATICS AND ITS APPLICATIONS (IC3INA) (pp. 343-348). New York, United States - New York: Ieee. doi:10.1109/IC3INA.2013.6819198
Peer reviewed

Hopgood, A. (2013). Hybrid AI. ITNOW, 55 (4 / Winter), 10-11. doi:10.1093/itnow/bwt066

Matthews, S. G., Gongora, M. A., & Hopgood, A. (2013). Evolutionary Algorithms and Fuzzy Sets for Discovering Temporal Rules. International Journal of Applied Mathematics and Computer Science, 23 (4), 855-868. doi:10.2478/amcs-2013-0064
Peer Reviewed verified by ORBi

Matthews, S. G., Gongora, M. A., Hopgood, A., & Ahmadi, S. (2013). Web usage mining with evolutionary extraction of temporal fuzzy association rules. Knowledge-Based Systems, 54, 66-72. doi:10.1016/j.knosys.2013.09.003
Peer Reviewed verified by ORBi

Passow, B. N., Gongora, M. A., Hopgood, A., & Smith, S. (2012). Intelligent acoustic rotor speed estimation for an autonomous helicopter. Applied Soft Computing, 12 (11), 3313-3324. doi:10.1016/j.asoc.2012.05.022
Peer Reviewed verified by ORBi

Hopgood, A. (2012). Intelligent Systems for Engineers and Scientists. (3rd Edition). Boca Raton, United States - Florida: Crc Press-Taylor & Francis Group.

Matthews, S. G., Gongora, M. A., Hopgood, A., & Ahmadi, S. (2012). Temporal Fuzzy Association Rule Mining with 2-tuple Linguistic Representation. In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012). IEEE.
Peer reviewed

Matthews, S. G., Gongora, M. A., & Hopgood, A. (2011). Evolving Temporal Association Rules with Genetic Algorithms. In M. Bramer, M. Petridis, ... A. Hopgood (Eds.), Research and Development in Intelligent Systems XXVII: Incorporating Applications and Innovations in Intelligent Systems XVIII Proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 107-120). London, United Kingdom: Springer London. doi:10.1007/978-0-85729-130-1_8
Peer reviewed

Matthews, S. G., Gongora, M. A., & Hopgood, A. (2011). Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm. Lecture Notes in Computer Science, 6678, 198-205. doi:10.1007/978-3-642-21219-2_26
Peer reviewed

Matthews, S. G., Gongora, M. A., & Hopgood, A. (2011). Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm, . In Genetic and Evolutionary Fuzzy Systems (GEFS), 2011 IEEE 5th International Workshop on,  (pp. 9-16). doi:10.1109/GEFS.2011.5949497
Peer reviewed

Daoud, M. S., Ayesh, A., Hopgood, A., & Al-Fayoumi, M. (2011). A new Splitting-based Displacement Prediction Approach for Location-Based Services. In 2011 IEEE International Conference on Systems, Man and Cybernetics (SMC 2011) (pp. 392-397). IEEE.
Peer reviewed

Almaraashi, M., John, R., Coupland, S., & Hopgood, A. (2010). Time Series Forecasting Using a TSK Fuzzy System tuned with Simulated Annealing. In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010). IEEE.
Peer reviewed

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