论文标题
将肥料从牲畜农场转移到农田：加泰罗尼亚的情况
Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia
论文作者
论文摘要
密集的牲畜产量可能会产生负面影响，从而产生大量动物粪便，如果无法正确管理，可能会污染附近的水体，过量过量。但是，如果将动物粪便出口到附近的农作物田，将用作有机肥料，则可以减轻污染。这是一个单一目标优化问题，是为了找到通过牲畜粪便满足农作物的营养需求的物流过程的最佳解决方案。本文提出了三种解决问题的方法：一种基于蚂蚁（AIA）的觅食行为以及一种天真的基于邻国的方法（NBS）的集中式最佳算法（COA），一种分散的自然风格的合作技术，构成了现有的实践，该方法构成了当今现有的实践。结果表明，COA方法的效率比AIA高8.5％。但是，AIA方法对农民来说更公平，并且在每个牲畜农民需要覆盖的平均运输距离方面更加平衡，而EFFIEST的1.07倍。我们的工作构成了分散的AIA在这个有趣的现实世界中的首次应用，在这个群体智能方法仍未探索的领域中。
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal manure, which, if not properly managed, can contaminate nearby water bodies with nutrient excess. However, if animal manure is exported to nearby crop fields, to be used as organic fertilizer, pollution can be mitigated. It is a single-objective optimization problem, in regards to finding the best solution for the logistics process of satisfying nutrient needs of crops by means of livestock manure. This paper proposes three different approaches to solve the problem: a centralized optimal algorithm (COA), a decentralized nature-inspired cooperative technique, based on the foraging behaviour of ants (AIA), as well as a naive neighbour-based method (NBS), which constitutes the existing practice used today in an ad hoc, uncoordinated manner in Catalonia. Results show that the COA approach is 8.5% more efficient than the AIA. However, the AIA approach is fairer to the farmers and more balanced in terms of average transportation distances that need to be covered by each livestock farmer, while it is 1.07 times more eefficient than the NBS. Our work constitutes the first application of a decentralized AIA to this interesting real-world problem, in a domain where swarm intelligence methods are still under-exploited.
