This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …

The area of maritime transportation optimization has recently begun to achieve increasing
success at solving large scale models, and industry is steadily adopting operations research …

It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …

Pollutants such as nitrogen oxides (NO x), sulfur dioxide (SO 2), and particulate matters (PM)
generated by shipping industry are increasing in recent years. In order to control the ship …

Shipping is one of the major transportation approaches around the world. With the growing
demands for global shipping service, vessel destination prediction has shown its significant …

Urban expansion has ushered in a landscape of opportunities and challenges across
housing, transportation, education, health, and the economy. In response to these evolving …

Forecasting vessel flows is important to the development of intelligent transportation systems
in the maritime field, as real-time and accurate traffic information has favorable potential in …

Maritime transportation forms the backbone of the world merchandise trade. In this paper,
we consider a problem that combines three interconnected subproblems in tramp shipping …

This paper presents a branch-and-cut algorithm and an adaptive large neighborhood search
(ALNS) heuristic for the periodic supply vessel planning problem (PSVPP) arising in the …

In order to support deep-sea oil and gas exploration and production operations, platform
supply vessel plays a critical role, being the main transport resource to meet the demand of …