Titlebook: Combinatorial Optimization; New Frontiers in The Mustafa Akgül,Horst W. Hamacher,Süleyman Tüfek?i Conference proceedings 1992 Springer-Verl

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John D. Daniels,Marjan Svetli?i? which require the iterative solution of the basic optimization problem over a restricted groundset, i.e. a restricted set of variables. In this paper we discuss the application of these schemes to the problem of finding the set of .-best perfect matchings in a graph. We show that the use of those f

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Competitiveness of Small Countriesms (MCNFP). The algorithm combines linear—quadratic penalty forms with a linearization technique that takes advantage of the block structure of the constraint set. The resultant procedure solves a sequence of smaller problems and can also be executed in parallel. Complete papers discuss the algorith

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Unilateral Economic Liberalization,g highly constrained optimization problems, where a minimal change to a feasible solution is very likely to yield an infeasible one. As a test problem, we have chosen the timetable problem (TTP), a problem that is known to be NP-hard [5], which has been intensively investigated for its practical rel

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https://doi.org/10.1007/978-3-319-04253-4ere is a cost .., and a duration ... We assume that the service time of customer . is included in the duration of each arc (., .). In this paper, the cost is taken to be the distance between . and .. The vehicle routing problem with time windows (VRPTW) involves the design of a set of minimum cost r

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Small Countries in a Global EconomyIn this paper the minimal spanning tree . structure is analyzed by means of the distance random variable and Wroclaw Taxonomy algorithm [2].