Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Variable neighborhood search6th Inte...
~
(1998 :)
Variable neighborhood search6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Variable neighborhood searchedited by Angelo Sifaleras, Said Salhi, Jack Brimberg.
Reminder of title:
6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018 : revised selected papers /
remainder title:
ICVNS 2018
other author:
Sifaleras, Angelo.
corporate name:
Published:
Cham :Springer International Publishing :2019.
Description:
xi, 315 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Traveling salesman problemCongresses.
Online resource:
https://doi.org/10.1007/978-3-030-15843-9
ISBN:
9783030158439$q(electronic bk.)
Variable neighborhood search6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018 : revised selected papers /
Variable neighborhood search
6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018 : revised selected papers /[electronic resource] :ICVNS 2018edited by Angelo Sifaleras, Said Salhi, Jack Brimberg. - Cham :Springer International Publishing :2019. - xi, 315 p. :ill., digital ;24 cm. - Lecture notes in computer science,113280302-9743 ;. - Lecture notes in computer science ;4891..
Improved 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 search algorithm to solve vehicle routing problems with optional visits.
This 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.
ISBN: 9783030158439$q(electronic bk.)
Standard No.: 10.1007/978-3-030-15843-9doiSubjects--Topical Terms:
836095
Traveling salesman problem
--Congresses.
LC Class. No.: QA402.5
Dewey Class. No.: 511.5
Variable neighborhood search6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018 : revised selected papers /
LDR
:03984nmm a2200361 a 4500
001
554411
003
DE-He213
005
20190313124120.0
006
m d
007
cr nn 008maaau
008
191118s2019 gw s 0 eng d
020
$a
9783030158439$q(electronic bk.)
020
$a
9783030158422$q(paper)
024
7
$a
10.1007/978-3-030-15843-9
$2
doi
035
$a
978-3-030-15843-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.5
072
7
$a
UYA
$2
bicssc
072
7
$a
COM051300
$2
bisacsh
072
7
$a
UYA
$2
thema
082
0 4
$a
511.5
$2
23
090
$a
QA402.5
$b
.I61 2018
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
Variable neighborhood search
$h
[electronic resource] :
$b
6th International Conference, ICVNS 2018, Sithonia, Greece, October 4-7, 2018 : revised selected papers /
$c
edited by Angelo Sifaleras, Said Salhi, Jack Brimberg.
246
3
$a
ICVNS 2018
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
xi, 315 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
11328
490
1
$a
Theoretical computer science and general issues
505
0
$a
Improved 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 search algorithm to solve vehicle routing problems with optional visits.
520
$a
This 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
$a
Traveling salesman problem
$v
Congresses.
$3
836095
650
1 4
$a
Numeric Computing.
$3
275524
650
2 4
$a
Discrete Mathematics in Computer Science.
$3
274791
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
273702
650
2 4
$a
Data Structures.
$3
273992
650
2 4
$a
Optimization.
$3
274084
700
1
$a
Sifaleras, Angelo.
$3
832450
700
1
$a
Salhi, Said.
$3
773664
700
1
$a
Brimberg, Jack.
$3
836094
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
830
0
$a
Theoretical computer science and general issues.
$3
822018
856
4 0
$u
https://doi.org/10.1007/978-3-030-15843-9
950
$a
Computer Science (Springer-11645)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000167273
電子館藏
1圖書
電子書
EB QA402.5 .I61 2018 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-15843-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login