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• W1555811547 abstract "Abstract A greedy randomized adaptive search procedure (GRASP) is an iterative multistart metaheuristic for difficult combinatorial optimization. Each GRASP iteration consists of two phases: a construction phase, in which a feasible solution is produced, and a local search phase, in which a local optimum in the neighborhood of the constructed solution is sought. Since 1989, GRASP has been applied to a wide range of combinatorial optimization problems, ranging from scheduling and routing to drawing. In this article, we cover the literature where GRASP is applied to scheduling, routing, logic, partitioning, location, graph theory, assignment, manufacturing, transportation, telecommunications, biology and related fields, automatic drawing, power systems, and VLSI design." @default.
• W1555811547 created "2016-06-24" @default.
• W1555811547 creator A5029261812 @default.
• W1555811547 creator A5090584718 @default.
• W1555811547 date "2011-01-01" @default.
• W1555811547 modified "2023-09-27" @default.
• W1555811547 title "Effective Application of GRASP" @default.
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• W1555811547 doi "https://doi.org/10.1002/9780470400531.eorms0281" @default.
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