Optimization by GRASP: Greedy Randomized Adaptive Search Procedures


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Fischetti, S. Martello, and P.

Optimization by GRASP

The fixed job scheduling problem with spread-time constraints. Operations Research 35 : —, Friden, A. Hertz, and D. Stabulus: A technique for finding stable sets in large graphs with tabu search. Computing 42 : 35—44, Fulkerson, G. Nemhauser, and L. Trotter Jr.. Two computationally difficult set covering problems that arise in computing the 1-width of incidence matrices of Steiner triple systems. Mathematical Programming Study 2 : 72—81, Tabu search—Part I. Tabu search—Part II. E Goldberg. Genetic algorithms in search, optimization and machine learning , Addison-Wesley, Johnson and M.

Trick, editors.

American Mathematical Society, Karmarkar and K. Computational results of an interior point algorithm for large scale linear programming.

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Mathematical Programming 52 : —, Kernighan and S. An efficient heuristic procedure for partitioning graphs. Bell System Technical journal 49 : —, Optimization by simulated annealing: Quantitative studies. Journal of Statistical Physics 34 : —, Annals of Operations Research 40 : —, Klincewicz and A. To appear in Naval Research Logistics.

Mauricio G. C. Resende - Citas de Google Académico

Laguna, T. Feo, and H. A greedy randomized adaptive search procedure for the 2-partition problem. Laguna and J.

Adaptive search heuristic robot

A search heuristic for just-in-time scheduling in parallel machines. Journal of Intelligent Manufacturing 2 : —, Lawler, J. It seems that you're in Germany. We have a dedicated site for Germany. Authors: Resende , Mauricio G. 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.

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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.

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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. Seller Inventory SPR More information about this seller Contact this seller.

Seller Inventory Seller Inventory LIE Book Description Springer, New Book. Shipped from UK. Established seller since Seller Inventory S Condition: Brand New. In Stock. Never used!. Seller Inventory PX.


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Mauricio G. Resende; Celso C.

Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
Optimization by GRASP: Greedy Randomized Adaptive Search Procedures

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