分类
单位(环理论)
计算机科学
Python(编程语言)
运筹学
集合(抽象数据类型)
服务(商务)
分布(数学)
工程类
数学
操作系统
经济
经济
算法
程序设计语言
数学分析
数学教育
作者
Cristina Videira Lopes,Ana Maria Rodrigues,Elif Öztürk,José Soeiro Ferreira,Ana Catarina Nunes,Pedro Rocha,Cristina Oliveira
出处
期刊:Springer proceedings in mathematics & statistics
日期:2023-01-01
卷期号:: 113-124
标识
DOI:10.1007/978-3-031-46439-3_9
摘要
Sectorization problems, also known as districting or territory design, deal with grouping a set of previously defined basic units, such as points or small geographical areas, into a fixed number of sectors or responsibility areas. Usually, there are multiple criteria to be satisfied regarding the geographic characteristics of the territory or the planning purposes. This work addresses a case study of parcel delivery services in the region of Porto, Portugal. Using knowledge about the daily demand in each basic unit (7-digit postal code), the authors analysed data and used it to simulate dynamically new daily demands according to the relative frequency of service in each basic unit and the statistical distribution of the number of parcels to be delivered in each basic unit. The sectorization of the postal codes is solved independently considering two objectives (equilibrium and compactness) using Non-dominated Sorting Genetic Algorithm-II (NSGA-II) implemented in Python.
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