A genetic algorithm for distributed system topology design
Computers and Industrial Engineering - Collection of papers on Computer-Integrated Manufacturing
Topological design of local-area networks using genetic algorithms
IEEE/ACM Transactions on Networking (TON)
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selected Papers from AISB Workshop on Evolutionary Computing
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Computational complexity and the genetic algorithm
Computational complexity and the genetic algorithm
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
On Optimal Solutions for the Optimal Communication Spanning Tree Problem
Operations Research
Computers and Electrical Engineering
The Research of an Approach to Design Local Area Network Topology Based on Genetic Algorithm
ISCID '09 Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design - Volume 01
How much to pay for protection in fiber access networks: cost and reliability tradeoff
ANTS'09 Proceedings of the 3rd international conference on Advanced networks and telecommunication systems
Local search genetic algorithm for optimal design of reliablenetworks
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Edge sets: an effective evolutionary coding of spanning trees
IEEE Transactions on Evolutionary Computation
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Industrial plants use conventional local area networks (LANs) to access a growing number of client/server (C/S) applications such as customer relationship management (CRM) or enterprise resource planning (ERP) which have a direct impact on organization's productivity. These LANs are typically extended throughout the plant which makes them exposed to occasional accidents such as fiber breakages or power failures. Reliable network design (RND) problems address the design of minimum-cost topologies resilient to link failures up to a certain degree. However, RND problems fail to capture some parameters of practical importance for organizations such as productivity losses due to network outages, the time period for which the network design is expected to be operating, or the fact that not all nodes are equally important for productivity. We propose a new approach to LAN topological design named Productivity-aware reliable network design (PA-RND) that takes into account the productivity associated to each node of the network, minimizing not only the CAPEX but also the expected cost attributable to network downtimes over a certain period of network operation. Results show that our PA-RND problem optimizes the LAN topological design obtaining better results than current network design problems such as reliability constrained network design (RCND), minimum spanning tree (MST) or minimum cost ring (MCR).