Abstract
We address the Multi Layer Hierarchical Ring Network Design Problem. This problem arises in the design of large telecommunication backbones, when high reliability is emphasized. The aim is to connect nodes that are assigned to different layers using a hierarchy of rings of bounded length. We present a memetic algorithm that focuses on clustering the nodes of each layer into disjoint subsets. A decoding procedure is then applied to each genotype for determining a ring connecting all nodes of each cluster. For local improvement we incorporate a previous variable neighborhood search. We experimentally evaluate our memetic algorithm on various graphs and show that it outperforms the sole variable neighborhood search approach in 13 out of 30 instances, while in eight instances they perform on par.
This work has been funded by the Vienna Science and Technology Fund (WWTF) through project ICT10-027.
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Keywords
- Travel Salesman Problem
- Neighborhood Structure
- Memetic Algorithm
- Greedy Randomized Adaptive Search Procedure
- Variable Neighborhood Search
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Schauer, C., Raidl, G.R. (2014). A Memetic Algorithm for Multi Layer Hierarchical Ring Network Design. In: Bartz-Beielstein, T., Branke, J., Filipič, B., Smith, J. (eds) Parallel Problem Solving from Nature – PPSN XIII. PPSN 2014. Lecture Notes in Computer Science, vol 8672. Springer, Cham. https://doi.org/10.1007/978-3-319-10762-2_82
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DOI: https://doi.org/10.1007/978-3-319-10762-2_82
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