Titlebook: Extending the Horizons: Advances in Computing, Optimization, and Decision Technologies; Edward K. Baker,Anito Joseph,Michael A. Trick Book

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Edward K. Baker,Anito Joseph,Michael A. TrickAn excellent collection of editors: Ed Baker and Mike Trick are well-known researchers in computational OR with international reputations; Mehrota (Department Chair at Miami) and Joseph are young rese

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Operations Research/Computer Science Interfaces Serieshttp://image.papertrans.cn/e/image/319842.jpg

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Extending the Horizons: Advances in Computing, Optimization, and Decision Technologies978-0-387-48793-9Series ISSN 1387-666X Series E-ISSN 2698-5489

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https://doi.org/10.1007/978-3-030-60279-6rogramming relaxation of an independent set formulation (where there is one variable for each independent set in the graph) for graph multi-coloring. This approach, while requiring the solution of a difficult subproblem, is a promising method to obtain good solutions for small to moderate size probl

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https://doi.org/10.1007/978-1-4939-3423-2n-uniform Steiner tree problem, the goal is to connect a set of nodes located on an uneven landscape, in a tree in the cheapest possible way. Using a combination of novel operators, our genetic algorithm is able to find optimal or near-optimal solutions in a small fraction of the time taken by an ex

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https://doi.org/10.1007/978-981-13-0347-0nal solution can be interpreted in terms of unresolved solution cardinality. We include a cardinality row within the linear programming relaxation of the set partitioning problem to demonstrate the associated cardinality-related information present in the tableau. Working with a basic feasible solut

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Vincenzo Cutello,Giuseppe Nicosiamance is measured by the decision-maker’s average regret. The approach we propose is entirely data-driven, in the sense that we do not estimate the probability distribution of the demand and instead rely exclusively on historical data. We propose an iterative algorithm to determine the number of pas