Innovative Research Award
Prof. Fred Glover
University of Colorado, Boulder, United States
| Prof. Fred Glover |
| Affiliation |
University of Colorado, Boulder |
| Country |
United States |
| Scopus ID |
7005868579 |
| Documents |
362 |
| Citations |
21,704 |
| h-index |
68 |
| Subject Area |
Metaheuristics |
| Event |
Global CSE Awards |
Prof. Fred Glover is associated with the University of Colorado, Boulder, United States, and is presented in this article in connection with the field of metaheuristics. The supplied profile records 362 documents, 21,704 citations, and an h-index of 68. His research legacy includes influential work on heuristic optimization, integer programming, surrogate constraints, and connections between optimization and artificial intelligence.[1][2][3]
Abstract
Prof. Fred Glover is presented as a researcher whose work is strongly associated with metaheuristics, optimization, and mathematical programming. His research profile includes substantial scholarly output, with the supplied Scopus information reporting 362 documents, 21,704 citations, and an h-index of 68. His influential contributions include surrogate constraint methods for integer programming, improved formulations for nonlinear integer problems, and research connecting integer programming with artificial intelligence. These publications illustrate a sustained interest in developing systematic approaches for solving difficult optimization problems and extending mathematical programming methodologies. The research provides an important conceptual foundation for heuristic and metaheuristic optimization research, with relevance across operations research, computer science, engineering, and artificial intelligence.[1][2][3]
Keywords
Metaheuristics; heuristic optimization; integer programming; nonlinear integer programming; surrogate constraints; mathematical programming; artificial intelligence; combinatorial optimization; operations research; optimization algorithms; computational intelligence; search methodologies; optimization theory; heuristic methods.
Introduction
Optimization research addresses the development of systematic methods for selecting effective solutions from complex and often computationally difficult problem spaces. Prof. Fred Glover’s research is associated with heuristic and mathematical programming approaches that seek practical solutions to challenging optimization problems. His early work on surrogate constraints and integer programming contributed to methodological developments in this area.[1]
Research Profile
The supplied profile identifies Prof. Fred Glover with the University of Colorado, Boulder, and lists metaheuristics as the principal subject area. The provided bibliometric indicators comprise 362 documents, 21,704 citations, and an h-index of 68. These figures describe a substantial publication and citation record within the supplied Scopus profile and provide quantitative context for his research visibility.[1][2][3]
Research Contributions
Glover’s research contributions represented in the supplied references include the use of surrogate constraints for integer programming, improved formulations for nonlinear integer problems, and consideration of future connections between integer programming and artificial intelligence. These studies reflect an emphasis on creating structured computational approaches for difficult optimization problems and broadening the role of mathematical programming in intelligent computational methods.[1][2][3]
Publications
The selected publications illustrate several stages and dimensions of research in mathematical optimization. The work on surrogate constraints examines techniques for integer programming, while research on nonlinear integer problems considers alternative linear formulations. A later contribution discusses prospective relationships between integer programming and artificial intelligence, demonstrating an expanding perspective on optimization and computational intelligence.[1][2][3]
Research Impact
The supplied Scopus indicators report 21,704 citations and an h-index of 68 across 362 documents. These bibliometric measures indicate substantial scholarly visibility in the supplied database, although such indicators can change over time and may differ between indexing services. The referenced publications also demonstrate methodological influence through their treatment of integer programming, nonlinear optimization, and links with artificial intelligence.[1][3]
Award Suitability
The Innovative Research Award recognizes a research profile through the lens of originality, methodological development, scholarly contribution, and sustained impact. The supplied record combines extensive publication activity with a substantial citation count and research focused on optimization and metaheuristics. The cited studies provide evidence of methodological work in integer programming and computational approaches relevant to modern optimization research.[1][2][3]
Conclusion
Prof. Fred Glover is presented as a researcher associated with metaheuristics and optimization, with the supplied profile reporting 362 documents, 21,704 citations, and an h-index of 68. His referenced research addresses surrogate constraints, integer programming formulations, and relationships between optimization and artificial intelligence. These contributions provide a substantive scholarly basis for consideration under an Innovative Research Award framework.[1][2][3]
External Links
References
- Glover, F. (1977). Heuristics for integer programming using surrogate constraints. Decision Sciences, 8(1), 156–166.
https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-5915.1977.tb01074.x
- Glover, F. (1977). Improved linear integer programming formulations of nonlinear integer problems. Management Science, 22(4), 455–460
https://pubsonline.informs.org/doi/abs/10.1287/mnsc.22.4.455
- Glover, F. (1986). Future paths for integer programming and links to artificial intelligence. Computers & Operations Research, 13(5), 533–549.
https://www.sciencedirect.com/science/article/abs/pii/0305054886900481