Fred W. Glover

Fred Glover is Chief Scientific Officer of Entanglement, Inc., USA, in charge of algorithmic design and strategic planning for applications of combinatorial optimization in quantum computing.[1][2]  He also holds the title of Distinguished University Professor, Emeritus, at the University of Colorado, Boulder, associated with the College of Engineering and Applied Science and the Leeds School of Business. He is known for his innovations in the area of metaheuristics[[3]] including the computer-based optimization methodology of Tabu search[4][5][,[6] an adaptive memory programming algorithm for mathematical optimization, and the associated evolutionary Scatter Search and Path Relinking algorithms.[7][8]

Fred W. Glover
Alma materCarnegie Mellon University
University of Missouri, Kansas City
AwardsJohn Von Neuman Theory Prize (1998)
IEEE Fellow (2013)
INFORMS Fellow(2002)
Scientific career
FieldsMathematical Optimization
Quantum bridge analytics
InstitutionsEntanglement, Inc., New York
University of Colorado, Boulder


His past and present editorial positions include serving as first Editor-in-Chief and Co-founder of the Journal of Heuristics, Area Editor, INFORMS Journal on Computing, Area Editor, Mathematics of Industrial Systems, Area Editor, Annals of Operations Research, Associate Editor, Management Science, Associate Editor, Operations Research, Honorary Editor, International Journal of Applied Metaheuristic Computing, and Special Issue Editor, European Journal of Operational Research.


He has contributed to the fields of network optimization[[9][[10][,[11] artificial intelligence[[12][,[13]

discrete optimization,[14][15][16][17] simulation optimization,[18][19][20] and quantum-inspired computing,[21][22][23] and co-founded the companies Analysis, Research and Computation, Inc. (now within Science Applications International, Inc.), Heuristec, Inc. (now within Tomax, Inc.) and OptTek Systems, Inc[.[1]

Education

Glover received his PhD in operations research in 1965 under Gerald L. Thompson and Herbert A. Simon from Carnegie Mellon University, and served as a Post-doctoral Research Fellow with the Miller Institute at the University of California, Berkeley, in the Industrial Engineering & Operations Research Department headed by George B. Dantzig in 1967. He obtained a Bachelor of Business Administration from the University of Missouri in 1960.

Honors and Awards

Dr. Glover is an elected member of the U.S. National Academy of Engineering and is the recipient of the John von Neumann Theory Prize, the highest honor of the Institute for Operations Research and the Management Sciences. His other awards and honorary fellowships include:

Honorary Appointments & Professorships

References
  1. Homepage of Fred W. Glover
  2. Entanglement Home page
  3. Fred Glover Google Scholar Citation
  4. F. Glover (1989) "Tabu Search - Part I," ORSA Journal on Computing, Vol. 1, No. 3, pp. 190-206. doi.org/10.1287/ijoc.1.3.190  
  5. F. Glover (1990) "Tabu Search - Part II," ORSA Journal on Computing, Vol 2, No. 1, pp. 4-32. doi/abs/10.1287/ijoc.2.1.4
  6. F. Glover and M. Laguna (1997) Tabu Search, Kluwer Academic Publishers, Springer springer.com/book/10.1007/978-1-4615-6089-0
  7. F. Glover (1997) “A Template for Scatter Search and Path Relinking,” in Artificial Evolution, Lecture Notes in Computer Science, 1363, J.-K. Hao, E. Lutton, E. Ronald, M. Schoenauer and D. Snyers, Eds. Springer, pp. 13-54. doi/10.1007/BFb0026589
  8. F. Glover, M. Laguna and R. Marti (2000) "Fundamentals of Scatter Search and Path Relinking," Control and Cybernetics, volume 29, number 3, pp. 653-684. https://www.infona.pl/resource/bwmeta1.element.baztech-article-BAT2-0001-0558?&locale=pl
  9. F. Glover, J. Hultz, D. Klingman and J. Stutz (1978) "Generalized Networks: A Fundamental Computer-Based Planning Tool," Management Science, Vol. 24, No. 12, pp. 1209-1220. https://dl.acm.org/doi/10.1287/mnsc.24.12.1209
  10. F. Glover, N. Phillips and D. Klingman (1990) "Network Related (Netform) Modeling and Applications," Special Issue on the Practice of Mathematical Programming, Interfaces, Vol. 20, No. 1, pp. 7-27. https://pubsonline.informs.org/doi/abs/10.1287/inte.20.4.7
  11. F. Glover, D. Klingman and N. Phillips (1992) Network Models in Optimization and their Applications in Practice, Wiley Interscience, John Wiley and Sons, 284 p. https://www.wiley.com/en-us/Network+Models+in+Optimization+and+Their+Applications+in+Practice-p-9781118031421
  12. F. Glover (1986) "Future Paths for Integer Programming and Links to Artificial Intelligence," Computers and Operations Research, Vol. 13, No. 5, pp. 533-549. https://www.sciencedirect.com/science/article/abs/pii/0305054886900481
  13. F. Glover and H. Greenberg (1989) “New approaches for heuristic search: A bilateral linkage with artificial intelligence,” European Journal of Operational Research, Volume 39, Issue 2, 24, Pages 119-130. https://www.sciencedirect.com/science/article/abs/pii/0377221789901859
  14. D. Corne, M. Dorigo and F. Glover (1999) New Ideas in Optimization, Advanced topics in computer science series, ISBN 978-0077095062, McGraw-Hill Inc., 450 p. https://www.amazon.com/Optimisation-Advanced-Topics-Computer-Science/dp/0077095065
  15. F. Glover (2016) “Multi-Wave Algorithms for Metaheuristic Optimization,” Journal of Heuristics, Vol. 22, Issue 3, pp. 331-358.  https://dl.acm.org/doi/10.1007/s10732-016-9312-y
  16. F. Glover, M. Lewis and G. Kochenberger (2018) “Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems,” European Journal of Operational Research, Vol 265, Issue 3, pp. 829-842. https://www.sciencedirect.com/science/article/abs/pii/S0377221717307567?via%3Dihub
  17. F. Glover, G. Kochenberger, and Y. Du (2022) “Applications and Computational Advances for Solving the QUBO Model,” in The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications, A. P. Punnen (ed.), Springer Nature Switzerland AG, pp. 39-56. https://link.springer.com/chapter/10.1007/978-3-031-04520-2_2
  18. F. Glover, J.P. Kelly and Manuel Laguna (2000) “The OptQuest Approach to Crystal Ball Simulation Optimization,” Decisioneering, pp. 1-12.  https://www.semanticscholar.org/paper/The-OptQuest-Approach-to-Crystall-Ball-Simulation-Optimization-Glover-Kelly-Laguna/58b0851275f617e52d89f559d5b1d3310d47d51e
  19. M. Better, F. Glover and M. Laguna (2007) "Advances in Analytics: Integrating Dynamic Data Mining with Simulation Optimization," IBM Journal of Research and Development, Vol. 51, No. 3/4, pp. 477-487. https://ieeexplore.ieee.org/document/5388656
  20. M. Better, F. Glover, G. Kochenberger and H. Wang (2008) “Simulation Optimization: Applications in Risk Management,” International Journal of Information Technology & Decision Making, Vol. 7, No. 4, pp. 571-587. https://www.worldscientific.com/doi/abs/10.1142/S0219622008003137
  21. F. Glover and J.-K. Hao (2019) “Diversification-Based Learning in Computing and Optimization,” in Journal of Heuristics, Special Issue on Intensification, Diversification and Learning in Optimization, F. Glover and M. Samorani, eds. Vol 25, Issue 4–5, pp. 521–537. https://link.springer.com/article/10.1007/s10732-018-9384-y
  22. F. Glover, G. Kochenberger, R. Hennig and Y. Du (2022) “Quantum Bridge Analytics I: a Tutorial on Formulating and Using QUBO Models,” Annals of Operations Research, 314, pp. 141–183, https://doi.org/10.1007/s10479-022-04634-2.
  23. F. Glover, G. Kochenberger, M. Ma and Y. Du (2022) “Quantum Bridge Analytics II: Combinatorial Chaining for Asset Exchange,” Annals of Operations Research, 314, pp. 185–212, https://doi.org/10.1007/s10479-022-04695-3.
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