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ICVNS (Conference) (2022 :)

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Variable neighborhood search = 9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25-28, 2022 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Variable neighborhood search/ edited by Andrei Sleptchenko, Angelo Sifaleras, Pierre Hansen.
Reminder of title:	9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25-28, 2022 : revised selected papers /
remainder title:	ICVNS 2022
other author:	Sleptchenko, Andrei.
corporate name:	ICVNS (Conference)
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	1 online resource (x, 149 p.) :ill. (some col.), digital ;24 cm.
[NT 15003449]:	A metaheuristic approach for solving Monitor Placement Problem -- A VNS-based heuristic for the minimum number of resources under a perfect schedule -- BVNS for Overlapping Community Detection -- A Simulation-Based Variable Neighborhood Search Approach for Optimizing Cross-Training Policies -- Multi-Objective Variable Neighborhood Search for improving software modularity -- An Effective VNS for Delivery Districting -- BVNS for the Minimum Sitting Arrangement problem in a cycle -- Assigning Multi-Skill Confgurations to Multiple Servers with a Reduced VNS -- Multi-Round Infuence Maximization: A Variable Neighborhood Search Approach -- A VNS based heuristic for a 2D Open Dimension Problem -- BVNS for the bi-objective multi row equal facility layout problem.
Contained By:	Springer Nature eBook
Subject:	Combinatorial optimization - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-34500-5
ISBN:	9783031345005

Variable neighborhood search = 9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25-28, 2022 : revised selected papers /
Variable neighborhood search9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25-28, 2022 : revised selected papers /[electronic resource] :ICVNS 2022edited by Andrei Sleptchenko, Angelo Sifaleras, Pierre Hansen. - Cham :Springer Nature Switzerland :2023. - 1 online resource (x, 149 p.) :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,138631611-3349 ;. - Lecture notes in computer science ;13863..

A metaheuristic approach for solving Monitor Placement Problem -- A VNS-based heuristic for the minimum number of resources under a perfect schedule -- BVNS for Overlapping Community Detection -- A Simulation-Based Variable Neighborhood Search Approach for Optimizing Cross-Training Policies -- Multi-Objective Variable Neighborhood Search for improving software modularity -- An Effective VNS for Delivery Districting -- BVNS for the Minimum Sitting Arrangement problem in a cycle -- Assigning Multi-Skill Confgurations to Multiple Servers with a Reduced VNS -- Multi-Round Infuence Maximization: A Variable Neighborhood Search Approach -- A VNS based heuristic for a 2D Open Dimension Problem -- BVNS for the bi-objective multi row equal facility layout problem.

This volume constitutes the proceedings of the 9th International Conference on Variable Neighborhood Search, ICVNS 2023, held in Abu Dhabi, United Arab Emirates, in October 2022. The 11 full papers presented in this volume were carefully reviewed and selected from 29 submissions. The papers describe recent advances in methods and applications of variable neighborhood search.

ISBN: 9783031345005

Standard No.: 10.1007/978-3-031-34500-5doiSubjects--Topical Terms:

844556
Combinatorial optimization
--Data processing--Congresses.

LC Class. No.: QA402.5

Dewey Class. No.: 519.64

Variable neighborhood search = 9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25-28, 2022 : revised selected papers /
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505 0 $a A metaheuristic approach for solving Monitor Placement Problem -- A VNS-based heuristic for the minimum number of resources under a perfect schedule -- BVNS for Overlapping Community Detection -- A Simulation-Based Variable Neighborhood Search Approach for Optimizing Cross-Training Policies -- Multi-Objective Variable Neighborhood Search for improving software modularity -- An Effective VNS for Delivery Districting -- BVNS for the Minimum Sitting Arrangement problem in a cycle -- Assigning Multi-Skill Confgurations to Multiple Servers with a Reduced VNS -- Multi-Round Infuence Maximization: A Variable Neighborhood Search Approach -- A VNS based heuristic for a 2D Open Dimension Problem -- BVNS for the bi-objective multi row equal facility layout problem.
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