Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm

This paper develops a model for shipping of container vessels to fulfill the demand and supply in various ports fixed time frame with dynamic each port under fuzzy environment. The is divided into sub-frames which are operation travelling time. Speed optimization, simultaneous loading, unloading operation, load factor introduced reduce fuel consumption carbon emission. risk make problem more realistic. In real ship routing scenarios, different cost parameters not always deterministic, fluctuate imprecisely. imprecise considered as Triangular Fuzzy Number (TFN). A modified genetic algorithm used solve proposed model, numerical examples given illustrate efficiency algorithm.