We investigate the generalized quadratic assignment problem and introduce a number of mat- and metaheuristic algorithms. Especially highlighted is an improvement procedure, a so-called magnifying glass heuristic, which has already proved to be successful for the solving of traveling salesman problems. All approaches are validated on test instances from the literature and on a generated set of random instances. Results demonstrate a very appealing computational performance, offering a promising foundation for further developments of the base concept in different contexts.
The Magnifying Glass Heuristic for the Generalized Quadratic Assignment Problem
Vittorio ManiezzoMembro del Collaboration Group
2019
Abstract
We investigate the generalized quadratic assignment problem and introduce a number of mat- and metaheuristic algorithms. Especially highlighted is an improvement procedure, a so-called magnifying glass heuristic, which has already proved to be successful for the solving of traveling salesman problems. All approaches are validated on test instances from the literature and on a generated set of random instances. Results demonstrate a very appealing computational performance, offering a promising foundation for further developments of the base concept in different contexts.File in questo prodotto:
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