Placing Green Bridges Optimally, with a Multivariate Analysis
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866910393516949504 |
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| author | Fluschnik, Till Kellerhals, Leon |
| author_facet | Fluschnik, Till Kellerhals, Leon |
| contents | We study the problem of placing wildlife crossings, such as green bridges, over human-made obstacles to challenge habitat fragmentation. The main task herein is, given a graph describing habitats or routes of wildlife animals and possibilities of building green bridges, to find a low-cost placement of green bridges that connects the habitats. We develop different problem models for this task and study them from a computational complexity and parameterized algorithmics perspective. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2102_04539 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Placing Green Bridges Optimally, with a Multivariate Analysis Fluschnik, Till Kellerhals, Leon Computational Complexity Discrete Mathematics Data Structures and Algorithms We study the problem of placing wildlife crossings, such as green bridges, over human-made obstacles to challenge habitat fragmentation. The main task herein is, given a graph describing habitats or routes of wildlife animals and possibilities of building green bridges, to find a low-cost placement of green bridges that connects the habitats. We develop different problem models for this task and study them from a computational complexity and parameterized algorithmics perspective. |
| title | Placing Green Bridges Optimally, with a Multivariate Analysis |
| topic | Computational Complexity Discrete Mathematics Data Structures and Algorithms |
| url | https://arxiv.org/abs/2102.04539 |