A Balanced Route Design for Min-Max Multiple-Depot Rural Postman Problem (MMMDRPP): a police patrolling case

نویسندگان

  • Huanfa Chen
  • Tao Cheng
  • John Shawe-Taylor
چکیده

Providing distributed services on road networks is an essential concern for many applications, such asmail delivery, logistics and police patrolling. Designing effective and balanced routes for these applications is challenging, especially when involving multiple postmen from distinct depots. In this research, we formulate this routing problem as a MinMaxMultiple-Depot Rural Postman Problem (MMMDRPP). To solve this routing problem, we develop an efficient tabu-search-based algorithm and propose three novel lower bounds to evaluate the routes. To demonstrate its practical usefulness, we show how to formulate the route design for police patrolling in London as an MMMDRPP and generate balanced routes using the proposed algorithm. Furthermore, the algorithm is tested onmultiple adapted benchmark problems. The results demonstrate the efficiency of the algorithm in generating balanced routes. ARTICLE HISTORY Received 11 May 2017 Accepted 13 September 2017

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عنوان ژورنال:
  • International Journal of Geographical Information Science

دوره 32  شماره 

صفحات  -

تاریخ انتشار 2018