Many-Objective Container Stowage Optimization Based on Improved NSGA-III

The container ship stowage planning problem (CSPP) is a very complex and challenging issue concerning the interests of shipping companies ports. This article has developed many-objective CSPP solution that optimizes stability reduces number shifts over whole route while at same time considering realistic constraints such as physical structure layout yard. Use initial metacentric height (GM) along with ship’s heeling angle trim to measure its stability. Meanwhile, use total amount relocation in terminal yard, voluntary shift bay, necessary future unloading port on route. proposes variant nondominated sorting genetic algorithm III (NSGA-III) combined local search components solve this problem. can produce set non-dominated solutions, then decision-makers choose best practical implementation based their experience preferences. After carrying out large experiments 48 examples, our calculation results show effective compared NSGA-II random weighted algorithms, especially when applied CSPPs.