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Titlebook: Learning and Intelligent Optimization; 13th International C Nikolaos F. Matsatsinis,Yannis Marinakis,Panos Par Conference proceedings 2020

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41#
發(fā)表于 2025-3-28 17:16:44 | 只看該作者
42#
發(fā)表于 2025-3-28 20:51:01 | 只看該作者
Irreducible Bin Packing: Complexity, Solvability and Application to the Routing Open Shop,b aggregation at some node of a transportation network can be seen as an instance of a bin packing problem. We show that for a two-machine case a positive answer to the Irreducible Bin Packing problem question at some node leads to a linear algorithm of constructing an optimal schedule subject to some restrictions on the location of that node.
43#
發(fā)表于 2025-3-29 01:12:25 | 只看該作者
Exact Algorithm for One Cardinality-Weighted 2-Partitioning Problem of a Sequence,ounded from above and below by given some constants. It is shown that the considered problem is the strongly NP-hard one. An exact algorithm is proposed for the case of integer-valued input of the problem. This algorithm has a pseudopolynomial running time if the space dimension is fixed.
44#
發(fā)表于 2025-3-29 03:37:58 | 只看該作者
PTAS for the Euclidean Capacitated Vehicle Routing Problem with Time Windows, remain PTAS for slow-growing dependencies . and .. In this paper, combining the well-known instance decomposition framework by A.?Adamaszek et al. and QPTAS by L.?Song et al. we propose a novel approximation scheme for the planar CVRPTW, whose running time remains polynomial for the significantly wider range of . and ..
45#
發(fā)表于 2025-3-29 10:43:34 | 只看該作者
46#
發(fā)表于 2025-3-29 12:10:04 | 只看該作者
Adaptive GVNS Heuristics for Solving the Pollution Location Inventory Routing Problem,d Search versions, illustrates the effectiveness of the intelligent mechanism used for automating the re-ordering of the local search operators in the improvement step of each optimization method. Results on 20 PLIRP benchmark instances show the efficiency of the proposed metaheuristics.
47#
發(fā)表于 2025-3-29 18:49:13 | 只看該作者
Asymptotically Optimal Algorithms for the Prize-Collecting Traveling Salesman Problem on Random Inpm collected profit and minimum traveling costs constraints. We show polynomial-time approximation algorithms for two variants of the problem and establish conditions under which the presented algorithms are asymptotically optimal on random inputs.
48#
發(fā)表于 2025-3-29 19:49:22 | 只看該作者
0302-9743 optimization, machine learning, and artificial intelligence and?describe advanced ideas, technologies, methods, and applications in optimization and machine learning..978-3-030-38628-3978-3-030-38629-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
49#
發(fā)表于 2025-3-30 03:25:01 | 只看該作者
50#
發(fā)表于 2025-3-30 06:58:13 | 只看該作者
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