Titlebook: Nonlinear Assignment Problems; Algorithms and Appli Panos M. Pardalos,Leonidas S. Pitsoulis Book 2000 Springer Science+Business Media Dordr

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Multi Index Assignment Problems: Complexity, Approximation, Applications,atively long history both in applications as well as in theoretical results, starting at least in the fifties (see e.g. [Motzkin, 1952], [Schell, 1955] and [Koopmans and Beckmann, 1957]). Here we intend to give the reader i) an idea of the range and diversity of practical problems that have been for

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Multidimensional Assignment Problems Arising in Multitarget and Multisensor Tracking,arget scenarios and in regions of high track contention. The use of multiple sensors, through more varied information, has the potential to greatly enhance target identification and state estimation. For multitarget tracking, the processing of multiple scans all at once yields high track identificat

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Polyhedral Methods for the QAP,sights into the structures of the problems as well as to their algorithmic solvability. Among these problems are quite prominent NP-hard ones, like, e.g., the traveling salesman problem, the stable set problem, or the maximum cut problem. In this chapter we overview the polyhedral work that has been

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Heuristics for Nonlinear Assignment Problems,nd injective mappings we may classify two main areas, i.e., assignment and semiassignment problems. Nonlinear assignment problems (NAPs) are those (semi-) assignment problems where the objective function is nonlinear..In combinatorial optimization many NAPs are natural extensions of the linear (semi