Fred Glover


Dr. Fred Glover


Dr. Fred Glover is Chief Technology Officer of OptTek Systems, Inc., in charge of algorithmic design and strategic planning initiatives. He also holds the title of Distinguished Professor at the University of Colorado, in association with the Electrical and Computer Engineering Department in the School of Engineering and with the Leeds School of Business. He has authored or co-authored more than four hundred published articles and eight books in the fields of mathematical optimization, computer science and artificial intelligence, with an emphasis on practical applications in industry and government.


Dr. Glover’s contributions to the field of optimization, for which he has received the John von Neumann Theory Prize (the highest award of the INFORMS society, for lifetime achievements in Operations Research and Management Science), span four decades, beginning with his work in the area of integer programming first published in 1964, and range across the fields of linear programming, network flows, graph theory, nonlinear programming and combinatorial optimization.


Dr. Glover’s contributions to discrete optimization and network optimization have pioneered the development of specialized solution methods and implementation procedures that have been widely commercialized. Contributions to the network field made jointly with his former student Darwin Klingman have been honored by the creation of the Glover-Klingman award of the top-tier journal Networks, awarded annually to the best publication to appear in its pages.


Dr. Glover is also a leading figure in the field of metaheuristics, whose name he coined in the 1980s, and that is now the subject of numerous books and international conferences, focusing on the development of models and methods enabling the solution of complex nonlinear and combinatorial problems that lie beyond the ability of classical optimization procedures to handle effectively.


Within this domain, Dr. Glover has introduced the class of procedures based on adaptive memory known as tabu search methods. Tabu search has had a significant impact on problems of a macro character, such as those in the areas of resource allocation, energy utilization, water resource planning, agricultural planning, minerals exploration, forestry management, toxic waste disposal, and others.


A partial indication of the influence of tabu search may be glimpsed by the fact that the Google search engine returns more than 200,000 web pages devoted to this topic. The related evolutionary approach scatter search, also originated by Dr. Glover, has likewise become the source of new methods for a wide range of practical applications, and is instrumental in solving problems that involve uncertainty. Together scatter search and tabu search provide the foundation of commercial software that is the leading source of computer-based optimization within the simulation industry. Currently there are more than 80,000 users licences of this software, in applications ranging from supply chain management to healthcare to energy transmission to portfolio optimization.


Dr. Glover’s achievements have also been honored by membership in the National Academy of Engineering as well as numerous additional awards and honorary fellowships, including those from the American Association for the Advancement of Science, the NATO Division of Scientific Affairs, the Institute of Management Science, the Operations Research Society, the Decision Sciences Institute, the U.S. Defense Communications Agency, the Energy Research Institute, the American Assembly of Collegiate Schools of Business, Alpha Iota Delta, and the Miller Institute for Basic Research in Science. He also serves on advisory boards for numerous journals and professional organizations, and has co-founded the companies Analysis, Research and Computation, Inc. (now within Science Applications, Inc.), Heuristec, Inc. (now within Tomax, Inc.) and OptTek Systems, Inc. Additional information available by Googling “Fred Glover” or by accessing


Selected publications:


Handbook of Metaheuristics, Kluwer Academic Publishers, Boston, 2003  (with G. Kochenberger)


"Multi-objective Process Design in Multi-purpose Batch Plants Using a Tabu Search Optimization Algorithm," Computers and Chemical Engineering, Vol. 28, No. 4, pp 459-478, 2004  (with L. Cavin and U. Fischer)


"A Very Large-Scale Neighborhood Search Algorithm for the Multi-Resource Generalized Assignment Problem," Discrete Optimization, Vol. 1, pp. 87-98, 2004 (with M. Yagiura, S. Iwasaki and T. Ibaraki)


"Adaptive Memory Search for Boolean Optimization Problems,” Discrete Applied Mathematics, Vol. 142, , pp. 99-109, 2004 (with L. M. Hvattum and A. Lokketangen)


Metaheuristic Agent Processes,” Metaheuristics: Progress as Real Problem Solvers,  Ibaraki, Toshihide; Nonobe, Koji; Yagiura, Mutsunori (Eds.), Kluwer Academic Publishers: Operations Research/Computer Science Interfaces Series, Vol. 32, pp. 1-28, 2005 (with G. Kochenberger)


“Sequential and Parallel Path-Relinking Algorithms for the Quadratic Assignment Problem,” IEEE Intelligent Systems: Transportation and Logistics,  C. Tarantilis, M. Gendreau and D. Spinellis (Eds.), Vol 20, No 4, pp. 58-65, 2005 (with T. James and C. Rego)


"Evolutionary Approaches to DNA Sequencing with Errors,” Annals of Operations Research, Volume 138, pp. 67-78, 2005 (with J. Blazewicz and M. Kasprzak)


 “Selecting Project Portfolios by Optimizing Simulations,” The Engineering Economist, Volume 51, Number 2, pp. 81-98, 2006 (with M. Better).


"New Optimization Models for Data Mining," International Journal of Information Technology & Decision Making, Vol. 5, No. 4, pp. 605-609. 2006 (with G. Kochenberger)


"Solving Group Technology Problems via Clique Partitioning,” International Journal of Flexible Manufacturing Systems, Vol. 18, No. 2, pp. 77-98, 2006 (with H Wang, B. Alidaee and G. Kochenberger)


 “Tabu Search – Uncharted Domains,” Annals of Operations Research, Vol. 149, No. 1, pp. 89-98, 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, 2007 (with M. Better and M. Laguna)


"Exact, Heuristic and Metaheuristic Methods for Confidentiality Protection by Controlled Tabular Adjustment," International Journal of Operations Research, Vol. 5, No. 2, pp. 117-128, 2008 (with L.H. Cox, J.P. Kelly and R. Patil)


 Simulation Optimization: Applications In Risk Management,” International Journal of Information Technology & Decision Making, Vol. 7, No. 4, pp. 571-587, 2008 (with M. Better, G. Kochenberger and H. Wang)  


"Finding Local Optima of High-Dimensional Functions Using Direct Search Methods," European Journal of Operational Research, 195, pp. 31-45, 2009 (with L.M. Hvattum)


Cyber Swarm Algorithms – Improving Particle Swarm Optimization Using Adaptive Memory Strategies,” European Journal of Operational Research, Vol. 201, Issue 2, 2010, pp. 377-389, DOI: 10.1016/j.ejor.2009.03.035 (with P-Y. Yin, M. Laguna and J-X. Zhu).


“Hybrid Scatter Tabu Search for Unconstrained Global Optimization,” Annals of Operations Research, Springer Science+Business Media, LLC 2009 DOI: 10.1007/s10479-009-0596-2 (with A. Duarte, R. Marti and F. Gortazar)


 Ejection chain and filter-and-fan methods in combinatorial optimization,” Annals of Operations Research, Springer Science+Business Media, LLC 2009 DOI: DOI 10.1007/s10479-009-0656-7 (with C. Rego)


“New concepts, methodologies and algorithms for business education and research in the 21st century,” Guest Editor, Special Issue of Decision Support Systems 48 (2010) pp. 427–429 (with R. Dyson, Y. Ijiri and A. Whinston).


“Scatter Search and Path Relinking: Fundamentals, Advances and Applications,” Handbook of Metaheuristics, M. Gendreau and J-Y. Potvin, eds., Kluwer Academic Publishers, 2010 (with M. Resende, C. Ribeiro and R. Marti) in press.


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