Adaptive large neighborhood search heuristics for multi-tier service deployment problems in clouds
type: Item
instance of: scholarly article
title: Adaptive large neighborhood search heuristics for multi-tier service deployment problems in clouds
zbMATH Open document ID: 1402.90215
author: Anders N. Gullhav
author: Jean-François Cordeau
author: Lars Magnus Hvattum
author: Bjørn Nygreen
published in: European Journal of Operational Research
publication date: 2018-05-25T00:00:00Z
full work available at URL: http://hdl.handle.net/11250/2423249
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 68M11
Mathematics Subject Classification ID: 68M20
Mathematics Subject Classification ID: 90C35
Mathematics Subject Classification ID: 90C27
zbMATH DE Number: 6873641
zbMATH Keywords: metaheuristics
zbMATH Keywords: cloud computing
zbMATH Keywords: replication
zbMATH Keywords: local search
describes a project that uses: SMAC
MaRDI profile type: Publication
OpenAlex ID: W2547758711
cites work: A branch and price approach for deployment of multi-tier software services in clouds
cites work: Variable neighborhood search: Principles and applications
cites work: Computational intelligence in reliability engineering. Evolutionary techniques in reliability analysis and optimization
cites work: Hybrid column generation and large neighborhood search for the dial-a-ride problem
cites work: A general heuristic for vehicle routing problems
cites work: Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization
cites work: Record breaking optimization results using the ruin and recreate principle
cites work: Computational study of a column generation algorithm for bin packing and cutting stock problems
DOI: 10.1016/J.EJOR.2016.11.003
description: scientific article; zbMATH DE number 6873641