Ophthalmologist 发表于 2025-3-23 10:54:44

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

Airtight 发表于 2025-3-23 17:07:28

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

Ablation 发表于 2025-3-23 19:01:18

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Cabg318 发表于 2025-3-23 23:10:37

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

Engulf 发表于 2025-3-24 05:56:17

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全能 发表于 2025-3-24 07:53:31

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

上釉彩 发表于 2025-3-24 14:06:39

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

cavity 发表于 2025-3-24 15:59:02

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

concert 发表于 2025-3-24 22:54:37

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逃避系列单词 发表于 2025-3-25 01:29:37

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
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