001435215 000__ 06478cam\a2200733\i\4500
001435215 001__ 1435215
001435215 003__ OCoLC
001435215 005__ 20230309003842.0
001435215 006__ m\\\\\o\\d\\\\\\\\
001435215 007__ cr\cn\nnnunnun
001435215 008__ 210327s2021\\\\sz\\\\\\o\\\\\101\0\eng\d
001435215 019__ $$a1242026694$$a1249943468
001435215 020__ $$a9783030696252$$q(electronic bk.)
001435215 020__ $$a3030696251$$q(electronic bk.)
001435215 020__ $$z9783030696245
001435215 020__ $$z3030696243
001435215 0247_ $$a10.1007/978-3-030-69625-2$$2doi
001435215 035__ $$aSP(OCoLC)1243545920
001435215 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dEBLCP$$dOCLCF$$dLEATE$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001435215 049__ $$aISEA
001435215 050_4 $$aQA402.5
001435215 08204 $$a519.6/4$$223
001435215 1112_ $$aICVNS (Conference)$$n(8th :$$d2021 :$$cAbū Ẓaby, United Arab Emirates)
001435215 24510 $$aVariable neighborhood search :$$b8th international conference, ICVNS 2021, Abu Dhabi, United Arab Emirates, March 21-25, 2021 : proceedings /$$cNenad Mladenovic, Andrei Sleptchenko, Angelo Sifaleras, Mohammed Omar (eds.).
001435215 24630 $$aICVNS 2021
001435215 264_1 $$aCham :$$bSpringer,$$c[2021]
001435215 300__ $$a1 online resource (202 pages)
001435215 336__ $$atext$$btxt$$2rdacontent
001435215 337__ $$acomputer$$bc$$2rdamedia
001435215 338__ $$aonline resource$$bcr$$2rdacarrier
001435215 4901_ $$aLecture notes in computer science ;$$v12559
001435215 4901_ $$aLNCS sublibrary: SL1 - Theoretical computer science and general issues
001435215 500__ $$aInternational conference proceedings.
001435215 500__ $$aIncludes index.
001435215 500__ $$a"Due to the COVID-19 pandemic, the ICVNS 2021 was organized in hybrid (online and offline) mode ..."--Preface
001435215 5050_ $$aIntro -- Preface -- Organization -- Contents -- Finding Critical Nodes in Networks Using Variable Neighborhood Search -- 1 Introduction -- 2 Algorithmic Approach -- 2.1 Initial Solution -- 2.2 Shake -- 2.3 Improvement -- 2.4 Neighborhood Change -- 3 Computational Results -- 4 Conclusions -- References -- Variable Neighborhood Descent Branching Applied to the Green Electric Vehicle Routing Problem with Time Window and Mixed Fleet -- 1 Introduction -- 2 Problem Statement -- 3 Literature Review -- 4 Variable Neighborhood Descent Branching Framework -- 5 Computational Experiments
001435215 5058_ $$a6 Concluding Remarks -- References -- A Variable Neighborhood Heuristic for Facility Locations in Fog Computing -- 1 Introduction -- 2 Problem Definition -- 3 Variable Neighborhood Heuristic -- 4 Experimental Results -- 4.1 Experimental Scenario -- 4.2 Performance Evaluation -- 5 Concluding Remarks -- References -- A GRASP/VND Heuristic for the Generalized Steiner Problem with Node-Connectivity Constraints and Hostile Reliability -- 1 Motivation -- 2 Related Work -- 3 Problem and Complexity -- 4 Algorithmic Proposal -- 4.1 General Scheme -- 4.2 Construction Phase -- 4.3 Local Search Phase -- VND
001435215 5058_ $$a5 Numerical Results -- 6 Conclusions and Trends for Future Work -- References -- Max-Diversity Orthogonal Regrouping of MBA Students Using a GRASP/VND Heuristic -- 1 Motivation -- 2 Related Work -- 3 Problem -- 3.1 Problem Description -- 3.2 Problem Formulation -- 3.3 Discussion -- 4 Solution -- 4.1 GRASP/VND Methodology for the MDOR -- 4.2 Construction Phase -- 4.3 Insertion -- 4.4 Swap -- 4.5 3-Chain -- 4.6 Shake -- 4.7 Main Algorithm -- 5 Computational Results -- 6 Conclusions and Trends for Future Work -- References -- Scheduling in Parallel Machines with Two Servers: The Restrictive Case
001435215 5058_ $$a1 Introduction -- 2 Problem Description -- 2.1 Numerical Example -- 3 Mathematical Formulation of the Restrictive Model -- 4 Variable Neighborhood Search -- 4.1 General Variable Neighborhood Search -- 4.2 Neighborhood Structures -- 4.3 Initial Solution -- 4.4 Evaluation Function -- 5 Computational Results -- 6 Conclusions and Future Work -- References -- Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data -- 1 Introduction and Background -- 2 Problem Formulation -- 3 Optimization Methods -- 3.1 Local Search Algorithm
001435215 5058_ $$a3.2 Reduced Variable Neighbourhood Search Heuristic -- 4 Computational Analysis -- 5 Conclusions -- References -- Sequential and Parallel Scattered Variable Neighborhood Search for Solving Nurikabe -- 1 Introduction -- 2 Scattered-VNS for Nurikabe -- 2.1 Solution Representation -- 2.2 Fitness Function -- 2.3 Initial Solution: Board Construction -- 2.4 Neighborhood Structures -- 2.5 Scattered-VNS -- 3 Parallel Scattered-VNS for Nurikabe -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Parameter Setting -- 4.3 Results -- 5 Conclusion -- References
001435215 506__ $$aAccess limited to authorized users.
001435215 520__ $$aThis volume constitutes the proceedings of the 8th International Conference on Variable Neighborhood Search, ICVNS 2021, held in Abu Dhabi, United Arab Emirates, in March 2021. The 14 full papers presented in this volume were carefully reviewed and selected from 27 submissions. The papers describe recent advances in methods and applications of variable neighborhood search. Chapter "Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
001435215 588__ $$aDescription based on print version record.
001435215 650_0 $$aCombinatorial optimization$$xData processing$$vCongresses.
001435215 650_0 $$aHeuristic algorithms$$vCongresses.
001435215 650_6 $$aOptimisation combinatoire$$xInformatique$$vCongrès.
001435215 650_6 $$aAlgorithmes heuristiques$$vCongrès.
001435215 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001435215 655_7 $$aConference papers and proceedings.$$2lcgft
001435215 655_7 $$aActes de congrès.$$2rvmgf
001435215 655_0 $$aElectronic books.
001435215 7001_ $$aMladenović, Nenad$$q(Nenad M.),$$eeditor.
001435215 7001_ $$aSleptchenko, Andrei,$$eeditor.
001435215 7001_ $$aSifaleras, Angelo,$$eeditor.
001435215 7001_ $$aOmar, Mohammed,$$eeditor.
001435215 77608 $$iPrint version:$$aMladenovic, Nenad.$$tVariable Neighborhood Search.$$dCham : Springer International Publishing AG, ©2021$$z9783030696245
001435215 830_0 $$aLecture notes in computer science ;$$v12559.
001435215 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
001435215 852__ $$bebk
001435215 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69625-2$$zOnline Access$$91397441.1
001435215 909CO $$ooai:library.usi.edu:1435215$$pGLOBAL_SET
001435215 980__ $$aBIB
001435215 980__ $$aEBOOK
001435215 982__ $$aEbook
001435215 983__ $$aOnline
001435215 994__ $$a92$$bISE