Two-edge disjoint survivable network design problem with relays: A hybrid genetic algorithm and Lagrangian heuristic approach

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5 Citations (Scopus)

Abstract

This article presents a network design problem with relays considering the two-edge network connectivity. The problem arises in telecommunications and logistic networks where a constraint is imposed on the distance that a commodity can travel on a route without being processed by a relay, and the survivability of the network is critical in case of a component failure. The network design problem involves selecting two-edge disjoint paths between source and destination node pairs and determining the location of relays to minimize the network design cost. The formulated problem is solved by a hybrid approach of a genetic algorithm (GA) and a Lagrangian heuristic such that the GA searches for two-edge disjoint paths for each commodity, and the Lagrangian heuristic is used to determine relays on these paths. The performance of the proposed hybrid approach is compared to the previous approaches from the literature, with promising results.

Original languageEnglish (US)
Pages (from-to)130-145
Number of pages16
JournalEngineering Optimization
Volume46
Issue number1
DOIs
StatePublished - Jan 2 2014

Fingerprint

Hybrid Genetic Algorithm
Network Design
Relay
Disjoint
Genetic algorithms
Heuristics
Edge-disjoint Paths
Hybrid Approach
Genetic Algorithm
Survivability
Telecommunication
Network Connectivity
Logistics
Telecommunications
Minimise
Path
Network design
Hybrid genetic algorithm
Costs
Vertex of a graph

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

Cite this

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