2013 - IEEE Fellow For contributions to computer based optimization
2002 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
2002 - Member of the National Academy of Engineering For contributions to optimization modeling and algorithmic development, and for solving problems in distribution, planning, and design.
1998 - INFORMS John von Neumann Theory Prize
1983 - Fellow of the American Association for the Advancement of Science (AAAS)
Fellow of the Decision Sciences Institute
Fred Glover mostly deals with Mathematical optimization, Tabu search, Algorithm, Metaheuristic and Integer programming. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Nonlinear programming, Decision rule and Integer. Fred Glover mostly deals with Guided Local Search in his studies of Tabu search.
Fred Glover combines subjects such as Numerical analysis and Shortest path problem with his study of Algorithm. His Integer programming research is multidisciplinary, incorporating elements of Covering problems and Change-making problem. His Heuristics study integrates concerns from other disciplines, such as Travelling salesman problem, Heuristic, Incremental heuristic search and Heuristic.
Fred Glover focuses on Mathematical optimization, Tabu search, Algorithm, Metaheuristic and Integer programming. His research on Mathematical optimization frequently connects to adjacent areas such as Path. Guided Local Search is the focus of his Tabu search research.
His Algorithm research includes elements of Extreme point, Flow network and Simplex. His Metaheuristic study combines topics in areas such as Range and Local search. Fred Glover interconnects Discrete mathematics, Combinatorics and Integer in the investigation of issues within Integer programming.
His scientific interests lie mostly in Mathematical optimization, Tabu search, Metaheuristic, Algorithm and Benchmark. Fred Glover has included themes like Path and Set in his Mathematical optimization study. His research in Tabu search is mostly focused on Guided Local Search.
His Metaheuristic research incorporates themes from Evolutionary algorithm, Optimization problem, Quality and Range. His Algorithm research incorporates elements of Extreme point, Key and Cluster analysis. His study looks at the relationship between Benchmark and fields such as Crossover, as well as how they intersect with chemical problems.
Mathematical optimization, Tabu search, Metaheuristic, Algorithm and Guided Local Search are his primary areas of study. His research integrates issues of Quadratic equation, Theory of computation and Benchmark in his study of Mathematical optimization. His work deals with themes such as Discrete mathematics, Global optimum, Heuristic, Vertex and Binary quadratic programming, which intersect with Tabu search.
His studies in Metaheuristic integrate themes in fields like Evolutionary algorithm and Crossover. The study incorporates disciplines such as Range and Key in addition to Algorithm. His work carried out in the field of Guided Local Search brings together such families of science as Hill climbing and Modular design.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Fred Glover;Manuel Laguna.
Tabu Search—Part II
Fred W. Glover.
Informs Journal on Computing (1989)
Future paths for integer programming and links to artificial intelligence
Computers & Operations Research (1986)
Handbook of metaheuristics
Fred Glover;Gary A. Kochenberger.
HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS
Decision Sciences (1977)
Tabu Search: A Tutorial
New ideas in optimization
David Corne;Marco Dorigo;Fred Glover;Dipankar Dasgupta.
A user's guide to tabu search
Fred Glover;Eric Taillard;Dominique de Werra.
Annals of Operations Research (1993)
Fundamentals of Scatter Search and Path Relinking
Fred Glover;Manuel Laguna;Rafael Martí.
Control and Cybernetics (2000)
A template for scatter search and path relinking
Lecture Notes in Computer Science (1998)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: