We present an effective hybrid algorithm with neighborhood reduction for solving the
multiple traveling salesman problem (mTSP). This problem aims to optimize one of the two …

Route optimization has become an increasing problem in the transportation and logistics
sector within the development of smart cities. This article aims to demonstrate the …

The rise in EVs popularity, combined with reducing emissions and cutting costs, encouraged
delivery companies to integrate them in their fleets. The fleet heterogeneity brings new …

Developing a more convenient and sustainable logistics delivery operation model has
become a consensus need for both academics and practitioners. However, the existing …

A new algorithm based on the ant colony optimization (ACO) method for the multiple
traveling salesman problem (mTSP) is presented and defined as ACO-BmTSP. This paper …

Polymer grade scheduling, maritime surveillance, e-food delivery, e-commerce, and military
tactics necessitate multiple agents (eg, extruders, speed boats, salesmen) capable of visiting …

Shared bikes can help cities achieve carbon neutrality goals. Cleaning and disinfection are
vital procedures of the maintenance of shared bikes, especially during the COVID‐19 …

In the Bounded Multiple Traveling Salesman Problem (BMTSP), a tour for each salesman,
that starts and ends at the depot and that respects the bounds on the number of cities that a …

В данной статье рассматривается популяционный гибридный алгоритм решения
задачи коммивояжера, построенный с применением двух алгоритмов-генетического и …

Shared bikes can help cities achieve carbon neutrality goals. Cleaning and disinfection are
vital procedures of the maintenance of shared bikes, especially during the COVID-19 …