List of Subject Classifications Records

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 Browse by Research Fields, Courses and Disciplines The Research Fields, Courses and Disciplines (Australian Standard Research Classification) is published by the Australian Bureau of Statistics (ABS catalogue number 1297.0) 1998. ABS data is used with permission from the Australian Bureau of Statistics -> 230000 Mathematical Sciences -> 230100 Mathematics -> 230118 Optimisation :

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Martinez-Garcia, Alejandro Nicolas (2005). A complex co-evolutionary systems approach to the management of sustainable grasslands : a case study in Mexico PhD Thesis, School of Physical Sciences, University of Queensland. 441 1329
Lesmono, D., Tonkes, E. J. and Burrage, K. (2005) A Continuous Time Model for Election Timing. Australian Mathematical Society Gazette, 32 5: 329-339. 95  
Xu, Zhao, Dong, Zhao Yang and Wong, Kit Po (2006) A hybrid planning method for transmission networks in a deregulated environment. IEEE Transactions on Power Systems, 21 2: 925-932. doi:10.1109/TPWRS.2006.873134 169 280 16 Cited 30 times in Scopus30 0
Botev, Zdravko I. (2005) A Non-Asymptotic Bandwidth Selection Method for Kernel Density Estimation of Discrete Data. 353 564
Dong, Zhao Yang, Hill, David J. and Guo, Yi (2005) A power system control scheme based on security visualisation in parameter space. International Journal of Electrical Power & Energy Systems, 27 7: 488-495. doi:10.1016/j.ijepes.2005.05.002 207 798 8 Cited 12 times in Scopus12 0
Kroese, Dirk P., Rubinstein, Reuven Y. and Taimre, Thomas (2007) Application of the cross-entropy method to clustering and vector quantization. Journal of Global Optimization, 37 1: 137-157. doi:10.1007/s10898-006-9041-0 89   9 Cited 13 times in Scopus13 0
Kroese, D. P. and Hui, Kin-Ping (2007). Applications of the cross-entropy method in reliability. In Gregory Levitin (Ed.), Computational intelligence in reliability engineering. New metaheuristics, neural and fuzzy techniques in reliability (pp. 37-82) Berlin, Germany: Springer-Verlag. doi:10.1007/978-3-540-37372-8_3 53   Cited 2 times in Scopus2 0
Zelniker, Emanuel and Clarkson, Ian Vaughan L. (2004). Approximate Maximum-Likelihood Estimation Of Circle Parameters Using A Phase-Coded Kernel. In: F. Hlawatsch and G. Matz, Proceedings of the Seventh European Signal Processing Conference. The Seventh European Signal Processing Conference, Vienna, Austria, (617-620). 6-10 September, 2004. 582 1003
Goldingay, Ross and Possingham, Hugh (1995) Area Requirements For Viable Populations Of The Australian Gliding Marsupial Petaurus Australis. Biological Conservation, 73 2: 161-167. doi:10.1016/0006-3207(95)00053-7 420 1179 33 0
Lindenmayer, David B., McCarthy, Michael A., Possingham, Hugh P. and Legge, Sarah (2001) A Simple Landscape-Scale Test of a Spatially Explicit Population Model: Patch Occupancy in Fragmented South-Eastern Australian Forests. Oikos, 92 3: 445-458. doi:10.1034/j.1600-0706.2001.920306.x 414 584 14 0
Zelniker, Emanuel and Clarkson, Vaughan (2003). A Statistical Analysis Of Least-Squares Circle-Centre Estimation. In: A. Zoubir, Proceedings of the 2003 International Symposium on Signal Processing and Information Technology. The 2003 International Symposium on Signal Processing and Information Technology, Darmstadt, Germany, (). 14-17 December, 2003. 835 1958
Zelniker, Emanuel E. and Clarkson, I. Vaughan, L. (2006) A statistical analysis of the Delogne-Kasa method for fitting circles. Digital Signal Processing, 16 5: 498-522. doi:10.1016/j.dsp.2005.04.001 487 477 14 Cited 18 times in Scopus18 0
Ma, Jian, Dong, Zhao Yang and Zhang, Pei (2006) Comparison of BR and QR Eigenvalue Algorithms for Power System Small Signal Stability Analysis. IEEE Transactions on Power Systems, 21 4: 1848-1855. doi:10.1109/TPWRS.2006.883685 280   8 Cited 17 times in Scopus17 0
Pressey, R. L., Possingham, H. P. and Day, J. R. (1997) Effectiveness Of Alternative Heuristic Algorithms For Identifying Indicative Minimum Requirements For Conservation Reserves. Biological Conservation, 80 2: 207-219. doi:10.1016/S0006-3207(96)00045-6 564 1662 203 Cited 212 times in Scopus212 0
Pressey, R. L., Possingham, H. P., Logan, V. S., Day, J. R. and Williams, P. H. (1999) Effects Of Data Characteristics On The Results Of Reserve Selection Algorithms. Journal of Biogeography, 26 1: 179-191. doi:10.1046/j.1365-2699.1999.00258.x 331 453 46 Cited 45 times in Scopus45 0
Westphal, Michael I., Field, S. A., Tyre, A. J., Paton, D. and Possingham, H. P. (2003) Effects of Landscape Pattern on Bird Species Distribution in the Mt. Lofty Ranges, South Australia. Landscape Ecology, 18 4: 413-426. doi:10.1023/A:1026115807529 528 2450 55 Cited 60 times in Scopus60 0
Field, Scott Andrew, Tyre, Richard Andrew John and Possingham, Hugh P. (2002) Estimating Bird Species Richness: How Should Repeat Surveys Be Organized in Time?. Austral Ecology, 27 6: 624-629. doi:10.1046/j.1442-9993.2002.01223.x 512 1640 34 Cited 35 times in Scopus35 0
deVoil, P., Rossing, W. A. H. and Hammer, G. L. (2006) Exploring profit - Sustainability trade-offs in cropping systems using evolutionary algorithms. Environmental Modelling and Software, 21 9: 1368-1374. doi:10.1016/j.envsoft.2005.04.016 84   24 Cited 28 times in Scopus28 0
Botev, Z. I. and Kroese, D. P. (2004). Global Likelihood Optimization Via The Cross-Entropy Method With An Application To Mixture Models. In: Ingalls, R. G., Rossetti, M. D., Smith, J. S. and Peters, B. A., Proceedings of the 2004 Winter Simulation Conference. 2004 Winter Simulation Conference, Washington, USA, (529-535). 5-8 December, 2004. 438 362 16
Tenhumberg, Brigitte, Tyre, Andrew J., Shea, Katriona and Possingham, Hugh P. (2004) Linking Wild and Captive Populations to Maximise Species Persistence: Optimal Translocation Strategies. Conservation Biology, 18 5: 1304-1314. doi:10.1111/j.1523-1739.2004.00246.x 431 629 52 Cited 63 times in Scopus63 0
Possingham, Hugh, Ball, Ian and Andelman, Sandy (2000). Mathematical Methods for Identifying Representative Reserve Networks. In Ferson, S. and Burgman, M. (Ed.), Quantitative Methods for Conservation Biology (pp. 291-305) : Springer-Verlag. 719 852
Zelniker, Emanuel E. and Clarkson, I. Vaughan L. (2003). Maximum-Likelihood Circle-Parameter Estimation via Convolution. In: C. Sun, H. Talbot, S. Ourselin and T. Adriaansen, Proceedings of the 7th Biennial Australian Pattern Recognition Society Conference - Digital Image Computing: Techniques and Applications. The Seventh Biennial Australian Pattern Recognition Society Conference, Sydney, Australia, (509-518). 10-12 December, 2003. 582 561
Zelniker, E. E. and Clarkson, I. V. L. (2006) Maximum-Likelihood Estimation of Circle Parameters via Convolution. IEEE Transactions on Image Processing, 15 4: 865-876. doi:10.1109/TIP.2005.863965 285 884 11 Cited 13 times in Scopus13 0
Field, Scott A., Tyre, Andrew J., Jonzen, Niclas, Rhodes, Jonathan R. and Possingham, Hugh P. (2004) Minimizing The Cost Of Environmental Management Decisions By Optimizing Statistical Thresholds. Ecology Letters, 7 8: 669-675. doi:10.1111/j.1461-0248.2004.00625.x 590 1903 89 Cited 102 times in Scopus102 0
Nesamony, Sudarsanan, Vairamuthu, Madhan Karky, Orlowska, Maria and Sadiq, Shazia (2006) On Optimal Route Computation of Mobile Sink in a Wireless Sensor Network. Technical Report No. 465, School of Information Technology and Electrical Engineering, The University Of Queensland. 550 534
Zelniker, E. E., Appleton, B. C. and Clarkson, I. V. L. (2005). Optimal Circle Fitting Via Branch And Bound. In: K. Barner and J. C. Pesquet, 2005 IEEE International Conference on Acoustics, Speech & Signal Processing Proceedings. 2005 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP 2005), Philadelphia, PA, USA, (709-712). 18-23 March, 2005. 553 838 1
Supriatna, Asep K. and Possingham, Hugh P. (1998) Optimal Harvesting For a Predator-Prey Metapopulation. Bulletin of Mathematical Biology, 60 1: 49-65. doi:10.1006/bulm.1997.0005 305 975 12 Cited 13 times in Scopus13 0
Pressey, R. L., Possingham, H. P. and Margules, C. R. (1996) Optimality In Reserve Selection Algorithms: When Does It Matter And How Much?. Biological Conservation, 76 3: 259-267. doi:10.1016/0006-3207(95)00120-4 570 2050 174 0
Hauser, Cindy E. (Cindy Emma) (2006). Optimal monitoring and harvesting of a wild population under uncertainty PhD Thesis, School of Physical Sciences, University of Queensland. 202 16
Lesmono, D. and Tonkes, E. J. (2005) Optimal strategies in political elections. The ANZIAM Journal, 46 5: C764-C785. 29   Cited 2 times in Scopus2
Haight, Robert G., Cypher, Brian, Kelly, Patrick A., Phillips, Scott, Possingham, Hugh P., Ralls, Katherine, Starfield, Anthony M., White, P. J. and Williams, Daniel (2002) Optimizing Habitat Protection Using Demographic Models of Population Viability. Conservation Biology, 16 5: 1386-1397. doi:10.1046/j.1523-1739.2002.99510.x 444 856 38 Cited 37 times in Scopus37 0
Haight, Robert G., Cypher, Brian, Kelly, Patrick A., Phillips, Scott, Ralls, Katherine and Possingham, Hugh P. (2004) Optimizing Reserve Expansion For Disjunct Populations Of San Joaquin Kit Fox. Biological Conservation, 117 1: 61-72. doi:10.1016/S0006-3207(03)00263-5 600 395 24 Cited 21 times in Scopus21 0
Amarasekare, Priyanga and Possingham, Hugh P. (2001) Patch Dynamics and Metapopulation Theory: The Case of Successional Species. Journal of Theoretical Biology, 209 3: 333-344. doi:10.1006/jtbi.2001.2269 410 2486 66 Cited 65 times in Scopus65 0
Zelniker, E. E. and Clarkson, I. V. L. (2005). Radon Transform Processing for Accurate Centreline Estimation of Thick Lines. In: A. Beghdadi, The 8th International Symposium on Signals Processing and Its Applications (ISSPA'05). The Eighth International Symposium on Signal Processing and Its Applications, Sydney, Australia, (803-806). 28-31 August, 2005. 357 538 0
Lindenmayer, David B. and Possingham, Hugh P. (1996) Ranking Conservation And Timber Management Options For Leadbeater's Possum In Southeastern Australia Using Population Viability Analysis. Conservation Biology, 10 1: 235-251. doi:10.1046/j.1523-1739.1996.10010235.x 939 972 92 0
Possingham, Hugh P. and Roughgarden, Jonathan (1990) Spatial Population Dynamics of a Marine Organism with a Complex Life Cycle. Ecology, 71 3: 973-985. doi:10.2307/1937366 527 611 120 0
Botev, Zdravko I. (2005). Stochastic Methods for Optimization and Machine Learning Other, Department of Mathematics, School of Physical Sciences, The University of Queensland. 405 1329
Kroese, Dirk P., Porotsky, Sergey and Rubinstein, Reuven Y. (2006) The cross-entropy method for continuous multi-extremal optimization. Methodology and Computing In Applied Probability, 8 3: 383-407. doi:10.1007/s11009-006-9753-0 77 33 64 Cited 84 times in Scopus84 0
Ball, Stephen J., Lindenmayer, David B. and Possingham, Hugh P. (2003) The Predictive Accuracy of Population Viability Analysis: A Test Using Data From Two Small Mammal Species in a Fragmented Landscape. Biodiversity and Conservation, 12 12: 2393-2413. doi:10.1023/A:1025821506931 317 1279 15 Cited 17 times in Scopus17 0
Coulson, Tim, Mace, Georgina M., Hudson, Elodie and Possingham, Hugh (2001) The Use And Abuse Of Population Viability Analysis. Trends in Ecology and Evolution, 16 5: 219-221. doi:10.1016/S0169-5347(01)02137-1 579 4727 190 Cited 196 times in Scopus196 0
Tenhumberg, B., Keller, M. A. and Possingham, Hugh P. (2001) Using Cox's Proportional Hazard Models to Implement Optimal Strategies: An Example from Behavioural Ecology. Mathematical and Computer Modelling, 33 6-7: 597-607. doi:10.1016/S0895-7177(00)00264-8 643 1903 11 Cited 15 times in Scopus15 0
McDonald, Stuart (2002) Using simulated annealing to compute the trembles of trembling hand perfection. Discussion Paper No. 316, School of Economics, The University of Queensland. 318 325