Publications

Summary

Academic Dissertations: 3

Books (Monographs): 4 + 1 in progress

Edited Books: 6

Technical Editor of Books by Other Authors: 2

Refereed Book Chapters: 26

Peer-reviewed Journal Articles: 71 + 4 in progress

Selected Contributions to Conference Proceedings: 36

Selected Research Reports and Other Publications: 69

Invited Book and Software Reviews: 10

Academic Dissertations

  1. A Stochastic Programming Problem and its Solution by Random Search. rer. nat. Dissertation. Eötvös Loránd University of Sciences, Budapest, 1975. (In Hungarian; Summa cum laude)
  2. Stochastic Methods for Solving Multiextremal, Non-smooth Problems in Stochastic Programming. D. Dissertation, Department of Probability Theory, Moscow State (Lomonosow) University, Moscow, 1982. (In Russian)
  3. Global Optimization – Algorithms, Implementations, and Applications.Sc. Dissertation, Hungarian Academy of Sciences, Budapest, 2000. (Hungarian academic dissertation based on my monograph Global Optimization in Action, see below.) 

Books

  1. Stochastic Optimization Procedures. Hungarian State Textbook Publishers, 1984. (In Hungarian)
  2. Global Optimization in Action – Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications. Kluwer Academic Publishers, Dordrecht, 1996. Now published by Springer Science + Business Media, New York.
  3. Computational Global Optimization in Nonlinear Systems – An Interactive Tutorial. Lionheart Publishing, Atlanta, GA, 2001.
  4. Global Optimization with Maple: An Introduction with Illustrative Examples. An electronic book published by Pintér Consulting Services, Halifax, NS; and by Maplesoft, Waterloo, ON, Canada, 2006.
  5. Nonlinear Optimization in Practice – Model Development, Software and Applications. (In progress)

Edited Volumes

  1. Global Optimization: Scientific and Engineering Case Studies. Springer Science + Business Media, New York, 2006.
  2. Modeling and Optimization in Space Engineering. Springer Science + Business Media, New York, 2013. Co-editor: Fasano, G.
  3. Optimized Packings With Applications. Springer Science + Business Media, New York, 2015. Co-editor: Fasano, G.
  4. Space Engineering: Modeling and Optimization with Case Studies. Springer Science + Business Media, New York, 2016. Co-editor: Fasano, G.
  5. Modeling and Optimization: Theory and Applications (MOPTA 2017). Springer Science + Business Media, New York, 2018. Co-editor: Terlaky, T.
  6. Modeling and Optimization in Space Engineering – State of the Art and New Challenges. Springer Science + Business Media, New York, 2019. Co-editor: Fasano, G.

Technical Editor of Books by Other Authors

  1. Theory of Global Random Search. Author: Zhigljavsky, A.A. Kluwer Academic Publishers, Dordrecht, 1991.
  2. Nonlinear Optimization Applications Using the GAMS Technology. Author: Neculai, A. Springer Science + Business Media, New York, 2013.

 Refereed Book Chapters

  1. Stochastic optimization methods for solving mathematical programming problems. In: Mogyoródi, J., Vincze, and Wertz, W., eds. Statistics and Probability, pp. 271–282. Publishing House of the Hungarian Academy of Sciences, Budapest, 1984.
  2. Decision models in water quality management. In: Katona, E., ed. Handbook of Water Quality Management, pp. 152–159. AQUA Publishers (Kiadó), Budapest, 1989. (In Hungarian)
  3. Lipschitzian global optimization: Some prospective applications. In: Floudas, A. and Pardalos, P.M., eds. Recent Advances in Global Optimization, pp. 399–432. Princeton University Press, Princeton, New Jersey, 1992.
  4. LGO: A program system for continuous and Lipschitz optimization. In: Bomze, I.M., Csendes, T., Horst, R. and Pardalos, P.M., eds. Developments in Global Optimization, pp. 183-197. Kluwer Academic Publishers, Dordrecht, 1997.
  5. A model development system for global optimization. In: De Leone, R., Murli, A., Pardalos, P.M. and Toraldo, G., eds. High Performance Algorithms and Software in Nonlinear Optimization, pp. 301-314. Kluwer Academic Publishers, Dordrecht, 1998.
  6. Extremal energy models and global optimization. In: Laguna, M. and González-Velarde, J-L., eds. Computing Tools for Modeling, Optimization and Simulation, 145-160. Kluwer Academic Publishers, Dordrecht, 2000.
  7. Continuous global optimization: Software. Invited contribution to the Encyclopedia of Optimization (Floudas, C. A. and Pardalos, P.M., eds.) Kluwer Academic Publishers, Dordrecht, 2001.
  8. Continuous global optimization: Illustrative applications. Invited contribution to the Encyclopedia of Optimization (Floudas, C. A. and Pardalos, P.M., eds.) Kluwer Academic Publishers, Dordrecht, 2001.
  9. Global optimization in the analysis and management of environmental systems. Invited contribution to the Encyclopedia of Optimization (Floudas, C. A. and Pardalos, P.M., eds.) Kluwer Academic Publishers, Dordrecht, 2001.
  10. Global optimization: Software, test problems, and applications. In: Pardalos, P. M. and Romeijn, H. E., eds. Handbook of Global Optimization, Volume 2, pp. 515-569. Kluwer Academic Publishers, Dordrecht, 2002.
  11. R. model development and optimization with Mathematica. In: Golden, B., Raghavan, S., and Wasil, E., eds. The Next Wave in Computing, Optimization, and Decision Technologies, pp. 285-302. Springer Science + Business Media, New York, 2005. Co-author: Kampas, F.J.
  12. Nonlinear optimization in modeling environments: software implementations for compilers, spreadsheets, modeling languages, and integrated computing systems. In: V. Jeyakumar and A.M. Rubinov, eds. Continuous Optimization: Current Trends and Applications, pp. 147-173. Springer Science + Business Media, New York, 2005.
  13. MathOptimizer Professional: Key features and illustrative applications. In: Liberti, L., and Maculan, N., eds. Global Optimization: From Theory to Implementation, pp. 263-279. Springer Science + Business Media, New York, 2006. Co-author: Kampas, F.J.
  14. Front matter and Preface. In: Pintér, J. D., ed. Global Optimization: Scientific and Engineering Case Studies, pp. ix-xxi. Springer Science + Business Media, New York, 2006.
  15. Determination of a distributed feedback laser’s field solution using global optimization. In: Pintér, J. D., ed. Global Optimization: Scientific and Engineering Case Studies, pp. 181-212. Springer Science + Business Media, New York, 2006. Co-authors: Isenor, G. and Cada, M.
  16. Optimization of radiation therapy dose delivery with multiple static collimation. In: Pintér, J. D., ed. Global Optimization: Scientific and Engineering Case Studies, pp. 461-485. Springer Science + Business Media, New York, 2006. Co-authors: Tervo, J., Kolmonen, P., and Lyyra-Laitinen, T.
  17. Computational global optimization. In: TutORials in Operations Research, Published by the Institute for Operations Research and the Management Sciences (INFORMS), Hanover, MD, 2007. Co-author: Lasdon, L.S.
  18. Global optimization in practice: State-of-the-art and perspectives. In: Gao, D. Y. and Sherali, H. D., eds., Advances in Applied Mathematics and Global Optimization, pp. 377-404. Springer Science + Business Media, New York, 2009.
  19. Software development for global optimization. In: Pardalos, P.M. and T. F. Coleman, eds. Global Optimization: Methods and Applications, 183-204. Fields Institute Communications Volume 55. Published by the American Mathematical Society, Providence, RI, 2009.
  20. Model development and optimization for space engineering. In: Fasano, G. and Pintér, J.D., eds., Modeling and Optimization in Space Engineering, pp. 1-32. Springer Science + Business Media, New York, 2013. Co-author: Fasano, G.
  21. Global optimization approaches to sensor placement: Model versions and illustrative results. In: Fasano, G. and Pintér, J.D., eds., Modeling and Optimization in Space Engineering, pp. 235-247. Springer Science + Business Media, New York, 2013. Co-author: Fasano, G.
  22. In: Fasano, G. and Pintér, J.D., eds., Optimized Packings with Applications, pp. v-xii. Springer Science + Business Media, New York, 2015. Co-author: Fasano, G.
  23. In: Fasano, G. and Pintér, J.D., eds., Space Engineering: Modeling and Optimization with Case Studies, pp. v-vii. Springer Science + Business Media, New York, 2016. Co-author: Fasano, G.
  24. Nonlinear regression analysis by global optimization: a case study in space engineering. In: Fasano, G. and Pintér, J.D., eds., Space Engineering: Modeling and Optimization with Case Studies, pp. 287-302. Springer Science + Business Media, New York, 2016. Co-authors: Fasano, G., Castellazzo, A., and Vola, M.
  25. Optimal packing of general ellipses in a circle. In: Takáč, M. and Terlaky, T., eds., Modeling and Optimization: Theory and Applications (MOPTA 2016), pp. 23-37. Springer Science + Business Media, New York, 2017. Co-authors: Kampas, F.J. and Castillo, I.
  26. Efficient piecewise linearization for a class of non-convex optimization problems: comparative results and extensions. In: Pintér, J.D. and Terlaky, T., eds., Modeling and Optimization: Theory and Applications (MOPTA 2017). Springer Science + Business Media, New York, 2018. Co-author: Fasano, G.
  27. In: Pintér, J.D. and Terlaky, T., eds., Modeling and Optimization: Theory and Applications (MOPTA 2017). Springer Science + Business Media, New York, 2018. Co-author: Terlaky, T. (Not counted as a separate book chapter item, added for completeness.) 

Peer-reviewed Journal Articles

  1. Maximal deviation of empirical pdf-sequences: application to a multi-period reliability type inventory model. Alkalmazott Matematikai Lapok 1 (1975) 189-195. (In Hungarian)
  2. Technico-economic water quality model of the Sajó river. Hidrológiai Közlöny 57 (1977) 27-37. Co-authors: Bora, Gy., Hock, B., Mucsy, Gy., Réczey, G. and Röszler, K. (In Hungarian)
  3. Water resources management model for the Sajó region. Vizügyi Közlemények (1977) 3, 418-426. (In Hungarian)
  4. Random search procedures: convergence and numerical efficiency. Alkalmazott Matematikai Lapok 4 (1978) 197-228. (In Hungarian)
  5. Stochastic models for regional water quality management. Hidrológiai Közlöny 60 (1980) 364-373. (In Hungarian)
  6. On a method of random search for unconstrained minimization. Avtomatika i Telemekhanika (1980) No. 12, 76-85. (In Russian; English translation in: Automation and Remote Control (1980) No. 12.)
  7. Hybrid procedures for solving non-smooth stochastic problems. Alkalmazott Matematikai Lapok 7 (1981) 83-97. (In Hungarian)
  8. Stochastic methods for solving optimization problems. Alkalmazott Matematikai Lapok 7 (1981) 217-252. (In Hungarian)
  9. Hybrid procedures for solving non-smooth constrained stochastic optimization problems. Vestnik MGU, Ser. VMK (1982) 1, 39-49. (In Russian; English translation in: Moscow University Computational Mathematics and Cybernetics (1982) No. 1.)
  10. An improved Chebyshev inequality for estimating function values by Monte Carlo procedures. Alkalmazott Matematikai Lapok 9 (1983) 93-104. (In Hungarian)
  11. Convergence properties of stochastic optimization procedures. Optimization 15 (1984) 405-427.
  12. A modified Bernstein-technique for estimating noise-perturbed function values. Calcolo 22 (1985) 241-247.
  13. A note on the frequency analysis and the statistical extrema of maximal precipitation. Vizügyi Közlemények 67 (1985) 348-353. (In Hungarian)
  14. Globally convergent methods for n-dimensional multiextremal optimization. Optimization 17 (1986) 187-202.
  15. Extended univariate algorithms for n-dimensional global optimization. Computing 36 (1986) 91-103.
  16. Multiextremal optimization for calibrating water resources models. Environmental Software 1 (1986) 98-105. Co-authors: Szabó, J. and Somlyódy, L.
  17. Global optimization on convex sets. Operations Research Spektrum 8 (1986) 197-202.
  18. Water quality management: Methodology and applications. Foundations of Control Engineering 11 (1986) 177-189. Co-author: Somlyódy, L.
  19. Global optimization procedures and their applications in water resources modelling. Vizügyi Közlemények 68 (1986) 520-529. (In Hungarian) Co-author: Szabó, J.
  20. Optimization of regional water quality monitoring strategies. Water Science and Technology 19 (1987) 721-727. Co-author: Somlyódy, L.
  21. A conceptual optimization framework for regional acidification control. Systems Analysis, Modelling and Simulation 4 (1987) 213-226.
  22. Branch-and-bound algorithms for solving global optimization problems with Lipschitzian structure. Optimization 19 (1988) 101-110.
  23. Deterministic approximations of probability inequalities. ZOR – Methods and Models of Operations Research, Series Theory 33 (1989) 219-239.
  24. Optimization in risk management. Civil Engineering Systems 6 (1989) 122-128. Co-author: Cooke, R.
  25. Environmental risk analysis and management. Hidrológiai Közlöny 69 (1989) 264-268. (In Hungarian)
  26. Solving nonlinear equation systems via global partition and search: some experimental results. Computing 43 (1990) 309-323.
  27. On the convergence of adaptive partition algorithms in global optimization. Optimization 21 (1990) 231-235.
  28. Risk management of accidental water pollution: an illustrative application. Water Science and Technology 22 (1990) 265-274. Co-authors: Benedek, P. and Darázs, A.
  29. Globally optimized calibration of environmental models. Annals of Operations Research 25 (1990) 211-222.
  30. Adaptive partition strategies for solving global optimization problems. Alkalmazott Matematikai Lapok 15 (1990/1991) 329-352. (In Hungarian)
  31. Stochastic modelling and optimization for environmental management. Annals of Operations Research 31 (1991) 527-544.
  32. Global convergence revisited: Reply to A. Zilinskas. Computing 46 (1991) 87-91.
  33. Set partition by globally optimized cluster seed points. European Journal of Operational Research 51 (1991) 127-135. Co-author: Pesti, G.
  34. An application of Lipschitzian global optimization to product design. Journal of Global Optimization 1 (1991) 389-401. Co-author: Hendrix, E.M.T.
  35. Convergence qualification of partition algorithms in global optimization. Mathematical Programming 56 (1992) 343-360.
  36. The impact of accelerating tools on the interval subdivision algorithm for global optimization. European Journal of Operational Research 65 (1993) 314-320. Co-author: Csendes, T.
  37. Environmental model calibration under different problem specifications: an application to the model SED. Ecological Modelling 68 (1993) 1-19. Co-author: van der Molen, D.T.
  38. A new interval method for locating the boundary of level sets. International Journal of Computer Mathematics 49 (1993) No. 1-2, 53-59. Co-author: Csendes, T.
  39. An intelligent decision support system for assisting industrial wastewater management. Annals of Operations Research 58 (1995) 455-477. Co-authors: Fels, M, Lycon, D.S., Meeuwig, D.J., and Meeuwig, J.W.
  40. Continuous and Lipschitz global optimization: algorithms and applications. Szigma XXVII (1996) 3, 71-104. (In Hungarian)
  41. Optimized design of wastewater treatment systems: application to the mechanical pulp and paper industry. I. Design and cost relationships. The Canadian Journal of Chemical Engineering 75 (1997) 437-451. Co-authors: Fels, M. and Lycon, D.S.
  42. Automatic model calibration applying global optimization techniques. Environmental Modeling and Assessment 3 (1998) 117-126. Co-authors: Finley, J.R. and Satish, M.G.
  43. Globally optimized spherical point arrangements: model variants and illustrative results. Annals of Operations Research 104 (2001) 213-230.
  44. Finding elliptic Fekete points sets: two numerical solution approaches. (Revised version.) Journal of Computational and Applied Mathematics 130 (2001) No. 1-2, pp. 205-216. Co-authors: Stortelder, W.J.H. and de Swart, J.J.B.
  45. An optimization-based approach to the multiple static delivery technique in radiation therapy. (Revised version.) Annals of Operations Research 119 (2003) 205-227. Co-authors: Tervo, J., Kolmonen, P., Lyyra-Laitinen, T., and Lahtinen, T.
  46. A global optimization approach to laser design. Optimization and Engineering 4 (2003) (3) 177-196. Co-authors: Isenor, G. and Cada, M.
  47. Globally optimized calibration of nonlinear models: techniques, software, and applications. Optimization Methods and Software 18 (2003) (3) 335-355.
  48. Comparative assessment of algorithms and software for global optimization. Journal of Global Optimization 31 (2005) 613-633. Co-authors: Khompatraporn, C. and Zabinsky, Z.B.
  49. Nonlinear optimization in Mathematica with MathOptimizer Professional. Mathematica in Education and Research 10 (2005) 2, 1-18. Co-author: Kampas, F.J.
  50. Configuration analysis and design by using optimization tools in Mathematica. The Mathematica Journal 10 (2006) 1, 128-154. Co-author: Kampas, F.J.
  51. Global Optimization Toolbox for Maple: an introduction with illustrative applications. Optimization Methods and Software 21 (2006) 565-582. Co-authors: Linder, D. and Chin, P.
  52. Nonlinear optimization with GAMS/LGO. Journal of Global Optimization 38 (2007) 79-101.
  53. Integrated production system optimization using the Lipschitz Global Optimizer and the Discrete Gradient Method. Journal of Industrial and Management Optimization 3 (2007) 2, 257-277. Co-authors: Mason, T.L., Emelle, C., van Berkel, J., Bagirov, A.M., and Kampas, F.J.
  54. Integrated software tools for the OR/MS classroom. Algorithmic Operations Research 3 (2008) 82–91. Co-authors: Castillo, I. and Lee, T.
  55. Solving circle packing problems by global optimization: numerical results and industrial applications. European Journal of Operational Research 191 (2008) 786–802. Co-authors: Castillo, I. and Kampas, F.J.
  56. Model development and optimization in interactive computing environments. Central European Journal of Operations Research 16 (2008) 165–178.
  57. A global optimization study on the devolatilisation kinetics of coal, biomass and waste fuels. Fuel Processing Technology 90 (2009) 762-769. Co-authors: Pantoleontos, G., Basinas, P. Skodras, G., Grammelis, P. Topis, S., Sakellaropoulos, G.P.
  58. A computational geometric / information theoretic method to invert physics-based MEC model attributes for MEC discrimination. Mathematical Machines and Systems (2011) No 2, pp. 50-61. (Mathematical Machines and Systems is published by the National Academy of Sciences of Ukraine.) Co-authors: Deschaine, L.M. and Nordin, P.
  59. Benchmarking nonlinear optimization software in technical computing environments: global optimization in Mathematica with MathOptimizer Professional. TOP (An official journal of the Spanish Society of Statistics and Operations Research) 21 (2013), 133-162. Co-author: Kampas, F.J.
  60. Calibrating artificial neural networks by global optimization. Expert Systems with Applications 39 (2012) 25–32.
  61. Development and calibration of currency market strategies by global optimization. Journal of Global Optimization 56 (2013), 353-371. Co-author: Çağlayan, M.O.
  62. Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints. Journal of Global Optimization 57 (2013) 191-215. Co-author: Horváth, Z.
  63. Groundwater remediation design using physics-based flow, transport, and optimization technologies. Environmental Systems Research 2 (2013) 2:6. Available at http://www.environmentalsystemsresearch.com/content/2/1/6. Co-authors: Deschaine, L.M. and Lillys, T.P. https://doi.org/10.1186/2193-2697-2-6.
  64. Benchmarking the LGO solver suite within the COCO test environment. Acta Technica Jauriensis 7 (2014), 156–171. Co-author: Hatwágner, M.F.
  65. Distance correlation based nearly orthogonal space-filling experimental designs. International Journal of Experimental Design and Process Optimisation 4 (2015) 3/4, 216-233. Co-authors: Shamsuzzaman, Md. and Satish, M.G.
  66. Obituary: János Fodor 1956–2016. European Journal of Operational Research 258 (2017) 2. Co-author: Fullér, R.
  67. How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results. Annals of Operations Research 265 (2018) 1, 119–141.
  68. Globally optimized packings of non-uniform size spheres in R𝑑: a computational study. Optimization Letters 12 (2018) 3, 585-613. Co-authors: Kampas, F.J. and Castillo, I.
  69. Optimized ellipse packings in regular polygons using embedded Lagrange multipliers.
  70. Optimization Letters (2019); online https://doi.org/10.1007/s11590-019-01423-y. Co-authors: Kampas, F.J. and Castillo, I.
  71. Packing ovals in optimized regular polygons. Journal of Global Optimization (2019, to appear). Co-authors: Kampas, F.J. and Castillo, I.
  72. Largest small n-polygons: numerical results and conjectured optima. (Submitted for publication)
  73. Applied global optimization. Invited review, European Journal of Operational Research. (In progress)
  74. AMPL-LGO solver for global-local nonlinear optimization: key features, with illustrative performance results. Co-author: Zverovich, V. (In progress)
  75. Constrained global optimization test models based on finite general object packing problems. Co-authors: Kampas, F.J. and Castillo, I. (In progress)
  76. Composite test functions for benchmarking nonlinear optimization software. (In progress)

 Selected Contributions to Conference Proceedings

  1. Mathematical model for water quality management in the Sajó river, pp. 400–431. In: Deininger, R.A., ed. WHO Seminar on Systems Analysis in Water Quality Management (Budapest, 1975); University of Michigan Press, Ann Arbor, 1977. Co-authors: Bora, Gy., Francia, L., Kulcsár, D. and Réczey, G.
  2. On the maximal distance between two series of empirical distribution functions, with application to an inventory problem. Methods of Operations Research 29 (1978) 623–636.
  3. Some methodological aspects of optimization techniques in water quality management. In: WHO Seminar on Water Quality Management (Budapest, 1977), pp. 164–171. Water Resources Management Institute, Budapest, 1978.
  4. On the convergence and efficiency of random search optimization. Methods of Operations Research 33 (1979) 347–362.
  5. On a stochastic model of reservoir system sizing. In: Iracki, K., Malanowski, K. and Walukiewicz, S., eds. Proceedings of the 9th IFIP Conference on Optimization Techniques (Warsaw, 1979), pp. 546–558. Lecture Notes in Control and Information Sciences 23, Springer, Berlin.
  6. Stochastically combined optimization procedures, their convergence and numerical performance. Methods of Operations Research 43 (1981) 143–150.
  7. Stochastic procedures for solving optimization problems. Methods of Operations Research 45 (1983) 135–144.
  8. Multiextremal (global) optimization algorithms for engineering applications. In: Fourth International Conference on Engineering Software (ENGSOFT ’85, Kensington, 1985), pp. 7–17 to 7–25. Springer, Berlin, 1985. Co-author: Szabó, J.
  9. Global optimization algorithms: An axiomatic approach. In: 30th Scientific Colloquium, Series E, pp. 117–120. Technical University of Ilmenau, 1985.
  10. Contributions to the methodology of stochastic optimization. In: IFIP Workshop on Stochastic Programming (Gargnano, Sept. 1983). Lecture Notes in Control and Information Sciences 76, Springer, Berlin, 1986.
  11. A stochastic lake eutrophication management model. In: Arkin, V.I., Shiriaev, A.N. and Wets, R., eds. Stochastic Optimization (Kiev, 1984), pp. 501-512. Lecture Notes in Control and Information Sciences 81, Springer-Verlag, Berlin, 1986. Co-author: Somlyódy, L.
  12. Sampling strategy optimization for regional water quality monitoring. In: 5th IFAC/IFORS Conference on Dynamic Modelling and Control of National Economies. (Budapest, June 1986.) Co-author: Somlyódy, L.
  13. Global optimization algorithms: Theory and some applications. In: Prékopa, A. Straziczky, B. and Szelezsán, J., eds. 12th IFIP Conference on Systems Modelling and Optimization (Budapest, 1985), pp. 704-713. Lecture Notes in Control and Information Sciences 84, Springer, Berlin, 1986. Co-author: Szabó, J.
  14. Estimating averages and detecting trends in water quality data. In: 2nd Scientific Assembly of the International Association for Hydrologic Sciences (Budapest, 1986); IAHS Publications 157 (1986) 61–69. Co-authors: Somlyódy, L., Koncsos, L., Hanácsek, I. and Juhász, I.
  15. Water quality and management modelling of non-point source pollution – A case study. In: 2nd Scientific Assembly of the International Association for Hydrologic Sciences (Budapest, 1986); IAHS Publications 157 (1986) 197–206. Co-author: Jolánkai, G.
  16. Optimization of regional water quality monitoring strategies. In: 2nd Scientific Assembly of the International Association for Hydrologic Sciences (Budapest, 1986); IAHS Publications 158 (1986) 259–268. Co-author: Somlyódy, L.
  17. Optimization models in water quality control. In: Beck, M.B., ed. Systems Analysis in Water Quality Management ( WATERMATEX 87, London, 1987) pp. 201–210. Pergamon Press, Oxford, 1987. Co-author: Somlyódy, L.
  18. Extreme order statistics applied for optimum estimation in ‘hard’ MP problems. In: Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, and Random Processes (Prague, July, 1986), 321-328. Publishing House of the Czechoslovakian Academy of Sciences, Prague, 1988. Co-author: C. Fodor, J.
  19. A new stochastic approach for controlling point source river pollution. In: 3rd Scientific Assembly of the International Association for Hydrologic Sciences (Baltimore, 1989); IAHS Publications 180 (1989) 241–249. Co-authors: Boon, J.G. and Somlyódy, L.
  20. Combining expert opinions: An optimized negotiation approach. In: Chikán, A., ed. 4th Int. Conf. on the Foundations and Applications of Utility, Risk and Decision Theory (Budapest, June 1988). Reidel, Dordrecht, 1990. Co-author: Cooke, R.
  21. Aquifer model calibration applying global optimization. 3rd IASTED Conf. Reliability, Control and Risk Assessment (Washington, D.C., Oct. 1994.) Co-authors: Finley, J.R. and Satish, M.G.
  22. Optimal load distribution. In: Advances in Military Load Carriage. Proc. TTCP-TLG-8 and TCIEM Workshop (Queen’s University, Kingston, Ontario, October 1996), pp. 26-27. Co-author: Pelot, R.P.
  23. A global optimization approach to inverse groundwater model calibration. Extended abstract in: IASTED Conf. MIC’98 (Grindelwald, Switzerland, Febr. 18-20, 1998.) Co-author: Satish, M.G.
  24. An application development system for global optimization. Invited tutorial presentation. Extended abstract in: IASTED Conf. MIC’98 (Grindelwald, Switzerland, February 18-20, 1998.)
  25. Computational global optimization: Models, algorithms and applications. Invited tutorial presentation. In: Mohammadian, M., ed. Concurrent Systems Engineering Series 55 ( CIMCA’99, Vienna, Febr. 17-19, 1999); pp. 1-10. IOS Press, Amsterdam, 1999.
  26. Optimization of finite element models with MathOptimizer and ModelMaker. Proceedings of the 2003 Wolfram Technology Conference, http://library.wolfram.com/infocenter/ Conferences/5347/. Co-author: Purcell, C.J.
  27. MathOptimizer Professional. Proceedings of the 2003 Wolfram Technology Conference, http://library.wolfram.com/infocenter/Conferences/4905/. Co-author: Kampas, F.J.
  28. Generalized circle packings: model formulations and numerical results. Proceedings of the 6th International Mathematica Symposium (Banff, August 2004). Co-author: Kampas, F.J.
  29. Advanced nonlinear optimization in Mathematica. Proceedings of the 2004 Wolfram Technology Conference http://library.wolfram.com/infocenter/Conferences/5398/. Co-author: Kampas, F.J.
  30. Global Optimization Toolbox for Maple: introduction and applications. In: Koutsiras, I.S., ed. Proceedings of the 2005 Maple Conference, pp. 70-85. Maplesoft, Waterloo, ON, 2005.
  31. Global optimization in Mathematica: a comparative numerical study. Proceedings of the 2005 Wolfram Technology Conference http://library.wolfram.com/infocenter/Conferences/5824/ Co-author: Kampas, F.J.
  32. MathOptimizer Professional: new features and applications. Proceedings of the 2006 Wolfram Technology Conference http://library.wolfram.com/infocenter/Conferences/6471/. Co-author: Kampas, F.J.
  33. Testing the “No free lunch theorem” for circle and sphere packings with MathOptimizer Professional. Proceedings of the 2007 Wolfram Technology Conference http://library.wolfram.com/infocenter/Conferences/6952/. Co-author: Kampas, F.J.
  34. Optimized calibration of currency market strategies. Co-author: Çağlayan, M.O. In: Proceedings of the Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector (24th MEC-EUROPT, Izmir University of Economics, Izmir, Turkey, June 23-26, 2010).
  35. Global optimization in practice: solver implementations and applications. Proceedings of the Conference on Challenges in Statistics and Operations Research (CSOR2011), Kuwait City, Kuwait, March 8-10, 2011.
  36. A novel optimization approach for developing foods that address childhood malnutrition.Proc. IEEE Global Humanitarian Technology Conference (To appear) Co-authors: Fereno, Ch., Shankar. S., Corr, S., and Herz, L.

Selected Research Reports and Other Publications 

  1. Stochastic programming model applied to water resources management. Research Report No. 11, Computing Center for Universities, Budapest, 1975.
  2. Evaluation of a stochastic gradient optimization algorithm. Research Report No. 23, Computing Center for Universities, Budapest, 1978.
  3. A unified approach to globally convergent one-dimensional optimization algorithms. Research Report 83–5, Institute for Applied Mathematics and Informatics, Milano, 1983.
  4. Selecting oil exploration strategies: some stochastic programming formulations and solution methods. Research Report CMI 852611-1, Christian Michelsen Institute, Fantoft, Bergen, Norway, 1985. Co-author: Flåm, D.
  5. Deterministic approximations of probability inequalities. Research Report 87–43, Faculty of Mathematics and Informatics, Delft University of Technology, Delft, 1987.
  6. Multiextremal optimization via adaptive partition algorithms. Research Report 87–44, Faculty of Mathematics and Informatics, Delft University of Technology, Delft, 1987.
  7. Mathematical programming in risk management. Research Report 87–50, Faculty of Mathematics and Informatics, Delft University of Technology, Delft, 1987. Co-author: Cooke, R.
  8. Convergence qualification of partition algorithms in global optimization. Research Report 87–61, Faculty of Mathematics and Informatics, Delft University of Technology, Delft, 1987.
  9. Combining expert opinions: an optimization approach. Research Report 87–84, Faculty of Mathematics and Informatics, Delft University of Technology, Delft, 1987. Co-author: Cooke, R.
  10. Deterministic and Stochastic Methods for Solving Multiextremal Optimization Problems. Lecture Notes, Faculty of Mathematics and Informatics, Delft University of Technology, Delft, 1987.
  11. River basin water quality management: a stochastic approach. An application to the River Zala, Hungary. Research Report, Agricultural University of Wageningen, and Water Resources Research Centre, Budapest, 1988. Co-authors: Boon, J.G. and Somlyódy, L.
  12. Adaptive partition methods for global optimization: theory and applications. Working Paper, Water Resources Research Centre, Budapest, 1989.
  13. Lipschitzian global optimization: theory and applications. Research Report 90.020, National Institute for Inland Water Management and Waste Water Treatment, Lelystad.
  14. Model calibration: problem statement, solution method and implementation manual. Research Report 90.024, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1990.
  15. Stochastic decision models for risk analysis and management: a brief methodological overview. Research Report 90.068, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1990.
  16. Simplicial partition strategies for Lipschitzian global optimization. Working Paper, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1991.
  17. An application of Lipschitzian global optimization to product design. Research Report 91.01, Department of Mathematics, Agricultural University, Wageningen, 1991. Co-author: Hendrix, E.M.T.
  18. Calibration of the model system DELWAQ-IMPAQT for the lake Ketelmeer. Research Report 91.001, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1991. Co-authors: ten Hulscher, D. and Bak-Eijsberg, C.
  19. Groundwater quality assessment and management: a stochastic modelling approach. Research Report 91.009, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1991. Co-author: De Lange, W.J.
  20. Calibration of the one-dimensional flow model ZWENDL in the Noordelijk Deltabekken region: some illustrative results. Research Report 91.028, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1991. Co-authors: Voogt, L., van Zetten, J. and Bak-Eijsberg, C.
  21. Groundwater quality assessment and management: illustrative numerical results. Research Report 91.031, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1991. Co-author: De Lange, W.J.
  22. Calibration under different problem specifications: application to the model SED. Research Report 91.049, National Institute for Inland Water Management and Waste Water Treatment, Lelystad, 1991. Co-author: Van der Molen, D.T.
  23. Lipschitzian global optimization: some prospective applications. (Revised and extended version.) Working Paper 92–01, School of Business Administration, Dalhousie University, Halifax, 1992.
  24. ESIS – An intelligent decision support system for assisting industrial wastewater management. Working Paper 93-03, School of Business Administration, and School for Resource and Environmental Studies, Dalhousie University, Halifax. Co-authors: Meeuwig, J.W., Meeuwig, D.J., Fels, M. and Lycon, D.S.
  25. Environmentally Sensitive Investment System (ESIS) Project – Final Report. School of Business Administration, and School for Resource and Environmental Studies, Dalhousie University, Halifax, 1993. (185 pages)
  26. Combining negotiated expert opinions: a global optimization approach. Working Paper, Department of Industrial Engineeering, Technical University of Nova Scotia, Halifax, 1994. Co-author: Cooke, R.
  27. Environmental Studies Centers Development in Indonesia (ESCDI) Project: Environmental Modelling. End of Assignment Report. (Agricultural University, Bogor, Java); PPPSL (Jakarta) and Dalhousie University, Halifax. (55 pages) Pintér Consulting Services, Halifax, 1994.
  28. Environmental Studies Centers Development in Indonesia (ESCDI) Project: Environmental Modelling. End of Assignment Report (University of Sriwijaya, Palembang, Sumatra); PPPSL (Jakarta) and Dalhousie University, Halifax. (74 pages) Pintér Consulting Services, Halifax, 1995.
  29. LGO: An implementation of a Lipschitzian global optimization procedure. User’s Guide. Research Report NM-R9522, Department of Numerical Mathematics, National Research Institute for Mathematics and Computer Science, Amsterdam, 1995.
  30. Advanced personal load carriage system. Project report submitted to the Atlantic Industrial Research Institute, by Pintér Consulting Services, Halifax, 1996. (48 pages)
  31. Continuous global optimization software: A brief review. (Invited contribution.) Optima 52 (1996) 1-8.
  32. Modelling support for stochastic programs. Project Report submitted to the School of Business, Dalhousie University. Pintér Consulting Services, Halifax, 1996. (35 pages)
  33. Modelling tools for stochastic programs. Working Paper 97-1, School of Business Administration, Dalhousie University, Halifax. Co-author: Gassmann, H.I.
  34. Computation of elliptic Fekete point sets. Research Report MAS-R9705, Department of Modelling, Analysis and Simulation, National Research Institute for Mathematics and Computer Science, Amsterdam, 1997. Co-authors: Stortelder, W.J.H. and de Swart, J.J.B.
  35. Advanced decision support for nonlinear systems modelling and optimization. CORS Bulletin 32 (1998) 1, 20-21.
  36. Continuous global optimization: a personal perspective. Invited feature article. CORS Bulletin 32 (1998) 2, 10-27.
  37. An LF-based application development system for global optimization. Fortran Source 14 (1998) 3. Lahey Computer Systems, Incline Village, NV.
  38. Finding elliptic Fekete point sets: two numerical solution approaches. CWI Quarterly, National Research Institute for Mathematics and Computer Science, Amsterdam 12 (1999) 1, 63-76. Co-authors: Stortelder, W.J.H. and de Swart, J.J.B.
  39. LGO: an integrated model development and solver system for continuous global optimization. INFORMS Computing Society Newsletter 20 (1999) 1, 14.
  40. Continuous global optimization: an introduction to models, solution approaches, tests and applications. Interactive Transactions in Operations Research and Management Science 2 (1999) No. 2; http://catt.bus.okstate.edu/itorms/pinter/.
  41. An optimization-based approach to the multiple static delivery technique in radiation therapy. Research Report A/1999/4, Department of Computer Science and Applied Mathematics, University of Kuopio, Finland. Co-authors: Tervo, J., Kolmonen, P., Lyyra-Laitinen, T., and Lahtinen, T.
  42. LGO global solver engine for Excel – Premium Solver Platform implementation. User Guide. Frontline Systems, Incline Village, NV, and Pintér Consulting Services, Halifax, NS, 2001.
  43. MathOptimizer – An advanced modeling and optimization system for Mathematica u User Guide. Pintér Consulting Services, Inc., Halifax, NS, 2002.
  44. The potentials of Mathematica in Operations Research and related applications. Mathematica Information Center http://library.wolfram.com/infocenter/Articles/4896/, 2003.
  45. GAMS/LGO solver engine: user guide. GAMS Solver Documentation Pages http://www.gams.com/solvers/lgo.pdf, 2003.
  46. MathOptimizer Professional – An advanced modeling and optimization system for Mathematica, using the LGO solver engine: uUser guide. Pintér Consulting Services, Inc., Halifax, NS, 2003. Co-author: Kampas, F.J.
  47. GAMS/LGO nonlinear solver suite: key features, usage, and numerical performance. GAMS Solver Documentation Pages http://www.gams.com/solvers/solvers.htm#LGO, 2003.
  48. TOMLAB/LGO user guide. TOMLAB Solver Documentation Pages http://tomlab.biz/docs/TOMLAB_LGO.pdf, 2004. Co-authors: Holmström, K., Goran, A.O. and Edvall, M.M.
  49. CIAO-GO – a model development and solver system for global and local nonlinear optimization. user guide. Research Report, CIAO-ITMS, University of Ballarat, Co-authors: Bagirov, A.M. and Rubinov, A.M.
  50. An illustrated collection of global optimization test problems. Research Report, CIAO-ITMS, University of Ballarat, Co-authors: Bagirov, A.M. and Zhang, J.
  51. Nonlinear systems modeling and optimization: software implementations and applications. Modeling and Simulation 3 (2004) 2, 17-18.
  52. MathOptimizer Professional, http://library.wolfram.com/infocenter/TechNotes/5995/, 2004. Co-author: Kampas, F.J.
  53. Getting started with MathOptimizer Professional, http://library.wolfram.com/infocenter/ TechNotes/6201/, 2004. Co-author: Kampas, F.J.
  54. Packing equal-size circles in a triangle, http://library.wolfram.com/infocenter/ TechNotes/6202/, 2005. Co-author: Kampas, F.J.
  55. AIMMS/LGO solver engine: a brief introduction and user’s guide. http://www.aimms.com/aimms/product/solvers/lgo.html, 2005.
  56. Mathematical Programming Glossary Supplement: Global Optimization, 2005. https://glossary.informs.org/second.php?page=GlobalOptimization.html.
  57. MathWorld entry: Operations Research, 2005. http://mathworld.wolfram.com/OperationsResearch.html.
  58. MathWorld entry: Global Optimization, 2005. http://mathworld.wolfram.com/GlobalOptimization.html.
  59. Nonlinear optimization with MPL /LGO: introduction and user’s guide. Maximal Software, Arlington, VA, and Pintér Consulting Services, Halifax, NS, 2006.
  60. Enhancement of optimization capability in TacTool using the Lipschitz Global Optimizer (LGO) program. Technical Report, DRDC Atlantic Region, Dartmouth, NS, 2006. Co-authors: Gammon, M.A. and Schwartz, R.
  61. Driving innovation: how mathematical modeling and optimization increase efficiency and productivity in vehicle design. Technical Report, Maplesoft, Waterloo, ON, 2007. Co-authors: Goossens, P., McPhee, J., Schmitke, C., and Stahl, H.
  62. Computational global optimization: state-of-the-art and perspectives. ORMS Today (2007) October issue.
  63. Combining population based search with nonlinear optimization to assist decision making in presence of multiple objectives. Technical Memorandum, Defence R&D Canada – Atlantic Region, December 2010. Co-author: Mark A. Gammon.
  64. RSS+LGO − A regularly spaced sampling method for experimental design integrated with the LGO solver suite for nonlinear optimization. Project Report, TÁMOP 4.2.2-08/01-2008-0021 Project, Széchenyi István University, Győr, Hungary, June 2011.
  65. Distance correlation based search approaches to find nearly orthogonal space-filling experimental designs. Dalhousie University, Halifax, NS, Canada. Co-authors: Shamsuzzaman, M. and Satish, M.G.
  66. LGO – A model development and solver system for global-local nonlinear optimization. User’s Guide. Current edition: December 2017. Pintér Consulting Services, Inc., Canada. www.pinterconsulting.com.
  67. LGO-MINLP – A model development and solver system for mixed integer-continuous nonlinear programming. User’s Guide. Current edition: June 2014. Pintér Consulting Services, Inc., Canada. www.pinterconsulting.com.
  68. Decision support for complex planning challenges. Research Report, HydroGeoLogic, Reston, VA, 2015. Co-author: Larry M. Deschaine.

Invited Book and Software Reviews

  1. Mathematical Programming Glossary on the World Wide Web, by Greenberg, H.J. Optima 53 (1997) 9-10.
  2. Developments in Global Optimization, by Bomze, I.M., Csendes, T., Horst, R. and Pardalos, P.M., eds. Optima 57 (1998) 12-13.
  3. Meta-Heuristics, by Osman, I.H. and Kelly, J.P., eds. Journal of Global Optimization 15 (1999) 105-107.
  4. Parallel Optimization, by Censor, Y. and Zenios, S.A. Journal of Global Optimization (2000) 107-108.
  5. Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization, by Voss, S., Martello, S., Osman, I.H., and Roucairol, C., eds. Interfaces 30 (2000) 94-95.
  6. Operations Research: A Practical Introduction, by Carter, M.W. and Price, C.C. Interfaces 32 (2002) 96-97.
  7. Interactive Operations Research with Maple, by Parlar, M. Interfaces 32 (2002) 99-101.
  8. Handbook of Applied Optimization, by Pardalos, P.M. and Resende, M.G.C., eds. Optimization Methods and Software 21 (2006) 4, 667-676.
  9. Principles of Object-Oriented Modeling and Simulation with Modelica 2.1, by Fritzson, P. Mathematica in Education and Research 11 (2006) 4, 498-505.
  10. Introduction to Applied Optimization, by Diwekar, U.M. European Journal of Operational Research 177 (2007) 646-648.