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020 _a9783030158439
_9978-3-030-15843-9
024 7 _a10.1007/978-3-030-15843-9
_2doi
050 4 _aQA297-299.4
072 7 _aPBKS
_2bicssc
072 7 _aMAT041000
_2bisacsh
072 7 _aPBKS
_2thema
082 0 4 _a518
_223
245 1 0 _aVariable Neighborhood Search
_h[electronic resource] :
_b6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018, Revised Selected Papers /
_cedited by Angelo Sifaleras, Said Salhi, Jack Brimberg.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXI, 315 p. 93 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11328
505 0 _aImproved variable neighbourhood search heuristic for quartet clustering -- On the k-medoids model for semi-supervised clustering -- Complexity and Heuristics for the Max Cut-Clique Problem -- A VNS approach to solve multi-level capacitated lotsizing problem with backlogging -- How to locate disperse obnoxious facility centers? -- Basic VNS algorithms for solving the pollution location inventory routing problem -- Less is More: The Neighborhood Guided Evolution Strategies convergence on some classic neighborhood operators -- New VNS variants for the Online Order Batching Problem -- An adaptive VNS and Skewed GVNS approaches for School Timetabling Problems -- Finding balanced bicliques in bipartite graphs using Variable Neighborhood Search -- General Variable Neighborhood Search for Scheduling Heterogeneous Vehicles in Agriculture -- Detecting weak points in networks using Variable Neighborhood Search -- A Variable neighborhood search with integer programming for the zero-one Multiple-Choice Knapsack Problem with Setup -- A VNS-based Algorithm with Adaptive Local Search for Solving the Multi-Depot Vehicle Routing Problem -- Skewed Variable Neighborhood Search Method for the Weighted Generalized Regenerator Location Problem -- Using a variable neighborhood search to solve the single processor scheduling problem with time restrictions -- An Evolutionary Variable Neighborhood Descent for addressing an electric VRP variant -- A Variable Neighborhood Descent heuristic for the multi-quay Berth Allocation and Crane Assignment Problem under availability constraints -- A Variable Neighborhood Search approach for solving the Multidimensional Multi-way Number Partitioning Problem -- A general variable neighborhood search with Mixed VND for the multi-Vehicle multi-Covering Tour Problem -- A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem -- Studying the impact of perturbation methods on the efficiency of GVNS for the ATSP -- A general variable neighborhood searchalgorithm to solve vehicle routing problems with optional visits.
520 _aThis book constitutes the refereed post-conference proceedings of the 6th International Conference on Variable Neighborhood Search, ICVNS 2018, held in Sithonia, Greece, in October 2018. ICVNS 2018 received 49 submissions of which 23 full papers were carefully reviewed and selected. VNS is a metaheuristic based on systematic changes in the neighborhood structure within a search for solving optimization problems and related tasks. The main goal of ICVNS 2018 was to provide a stimulating environment in which researchers coming from various scientific fields could share and discuss their knowledge, expertise, and ideas related to the VNS metaheuristic and its applications.
650 0 _aNumerical analysis.
_94603
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aDiscrete mathematics.
_912873
650 0 _aAlgorithms.
_93390
650 0 _aArtificial intelligence
_xData processing.
_921787
650 0 _aMathematical optimization.
_94112
650 1 4 _aNumerical Analysis.
_94603
650 2 4 _aDiscrete Mathematics in Computer Science.
_931837
650 2 4 _aAlgorithms.
_93390
650 2 4 _aData Science.
_934092
650 2 4 _aOptimization.
_993570
700 1 _aSifaleras, Angelo.
_eeditor.
_0(orcid)
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_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_993571
700 1 _aSalhi, Said.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_993572
700 1 _aBrimberg, Jack.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_993574
710 2 _aSpringerLink (Online service)
_993578
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030158422
776 0 8 _iPrinted edition:
_z9783030158446
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11328
_993579
856 4 0 _uhttps://doi.org/10.1007/978-3-030-15843-9
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