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A branch-and-cut algorithm for two-level survivable network design problems

TLDR
This paper approaches the problem of designing a two-level network protected against single-edge failures by giving integer programming formulations and valid inequalities for the different versions of the problem, solving them using a branch-and-cut algorithm, and discussing computational results.
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This article is published in Computers & Operations Research.The article was published on 2016-03-01 and is currently open access. It has received 16 citations till now. The article focuses on the topics: Backbone network & Network planning and design.

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Citations
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A multi-objective evolutionary artificial bee colony algorithm for optimizing network topology design

TL;DR: A goal programming-based multi-objective artificial bee colony optimization (MOABC) algorithm to solve the problem of topological design of distributed local area networks (DLANs) and results indicate that EMOABC demonstrated superior performance than all the other algorithms.
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Emergency transportation network design problem: Identification and evaluation of disaster response routes

TL;DR: In this paper, the authors proposed a branch-and-cut solution method to solve the problem of finding the optimal routes for emergency vehicles considering the length, the travel time and the number of paths as performance metrics of network vulnerability.
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p-Median based formulations with backbone facility locations

TL;DR: New mixed integer linear programming models for the p-Median problem subject to ring, tree and star backbone topology constraints on the facility locations are proposed and variable neighborhood search (VNS) meta-heuristic algorithms are proposed, one for each topology.
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Fuzzy goal programming-based ant colony optimization algorithm for multi-objective topology design of distributed local area networks

TL;DR: This paper formulated the DLAN topology design problem as a multi-objective optimization problem considering five design objectives and formulated the proposed fuzzy goal programming-based ant colony optimization algorithm (GPACO), which was able to find solutions of higher quality.
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Systems under attack-survivability rather than reliability: Concept, results, and applications

TL;DR: This paper introduces the concept of system survivability under attack in analogy with system reliability, and provides the expected number of attacks for each system configuration based on the particular attack strategy both for single and multiple attacks.
References
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Journal ArticleDOI

Design of survivable communications networks under performance constraints

TL;DR: A network design algorithm is described that uses a set of deterministic connectivity measures which result in topologically survivable network designs that also meet processing and performance requirements.
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Designing Hierarchical Survivable Networks

TL;DR: A general multi-tier survivable network design model to configure cost effective networks for this type of market segmentation is proposed and how to optimally solve single-tier subproblems, with two critical customers, as a matroid intersection problem is shown.
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Hierarchical self-healing rings

TL;DR: A new hierarchical self-healing ring (HSHR) architecture for circuit-switched networks is proposed and the design of HSHR networks is considered and it is shown that the enumeration method, which finds the optimum configuration of HSI, can only be used for small networks due to the complexity.
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Solving the Two-Connected Network with Bounded Meshes Problem

TL;DR: A Branch-and-Cut approach to the problem of designing at minimum cost a two-connected network such that the shortest cycle to which each edge belongs (a "mesh") does not exceed a given lengthK.
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Q1. What are the contributions in "A branch-and-cut algorithm for two-level survivable network design problems" ?

This paper approaches the problem of designing a two-level network protected against single-edge failures. The authors consider two survivable structures in both network levels. The aim of the problem is to minimize the total cost. The authors give integer programming formulations and valid inequalities for the different versions of the problem, solve them using a branch-and-cut algorithm, and discuss computational results.