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Optimization by GRASP - Greedy Randomized Adaptive Search Procedures (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R1,803
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Optimization by GRASP - Greedy Randomized Adaptive Search Procedures (Paperback, Softcover reprint of the original 1st ed. 2016)
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This is the first book to cover GRASP (Greedy Randomized Adaptive
Search Procedures), a metaheuristic that has enjoyed wide success
in practice with a broad range of applications to real-world
combinatorial optimization problems. The state-of-the-art coverage
and carefully crafted pedagogical style lends this book highly
accessible as an introductory text not only to GRASP, but also to
combinatorial optimization, greedy algorithms, local search, and
path-relinking, as well as to heuristics and metaheuristics, in
general. The focus is on algorithmic and computational aspects of
applied optimization with GRASP with emphasis given to the
end-user, providing sufficient information on the broad spectrum of
advances in applied optimization with GRASP. For the more advanced
reader, chapters on hybridization with path-relinking and parallel
and continuous GRASP present these topics in a clear and concise
fashion. Additionally, the book offers a very complete annotated
bibliography of GRASP and combinatorial optimization. For the
practitioner who needs to solve combinatorial optimization
problems, the book provides a chapter with four case studies and
implementable templates for all algorithms covered in the text.
This book, with its excellent overview of GRASP, will appeal to
researchers and practitioners of combinatorial optimization who
have a need to find optimal or near optimal solutions to hard
combinatorial optimization problems.
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