Expansion of the global economy highly depends on deep‐sea transportation, which is the backbone of maritime transportation. An efficient decision on the ship operations increases the ship's productivity, and thus has impacts both on the local and on the global economies. This chapter focuses on the ship routing and scheduling problem, which is the major factor determining a ship's productivity. The chapter reviews the ship routing problem (SRP). Brouer developed a metaheuristic algorithm for the liner SRP, which combines four main steps, namely construction, improvement, reinsertion and perturbation. The green ship routing and scheduling problem (GSRP) consists of designing the routes and schedules for a fleet of ships considering several ports such that the demand for loading and unloading operations is met. The chapter then discusses in detail on energy‐efficient transportation.
Metaheuristics for Ship Operations
2018-04-30
26 pages
Article/Chapter (Book)
Electronic Resource
English
Metaheuristics Hybridizing Various Components
Wiley | 2016
|Parallel Metaheuristics for Workforce Planning
British Library Online Contents | 2007
|CLAM: Clustering Large Applications Using Metaheuristics
British Library Online Contents | 2011
|TIBKAT | 1999
|Metaheuristics Generating a Sequence of Solutions
Wiley | 2016
|