The multi-objective optimisation of breakwaters using evolutionary approach
This addresses the need for safer ship parking and maneuvering in ports, but it is incremental as it builds on existing evolutionary methods with a heuristic enhancement.
The paper tackled the problem of optimizing breakwater configurations to improve port safety by proposing a multi-objective evolutionary approach with a greedy heuristic for faster solutions, applied to the Black Sea Port of Sochi to identify Pareto-optimal sets for decision-making.
In engineering practice, it is often necessary to increase the effectiveness of existing protective constructions for ports and coasts (i. e. breakwaters) by extending their configuration, because existing configurations don't provide the appropriate environmental conditions. That extension task can be considered as an optimisation problem. In the paper, the multi-objective evolutionary approach for the breakwaters optimisation is proposed. Also, a greedy heuristic is implemented and included to algorithm, that allows achieving the appropriate solution faster. The task of the identification of the attached breakwaters optimal variant that provides the safe ship parking and manoeuvring in large Black Sea Port of Sochi has been used as a case study. The results of the experiments demonstrated the possibility to apply the proposed multi-objective evolutionary approach in real-world engineering problems. It allows identifying the Pareto-optimal set of the possible configuration, which can be analysed by decision makers and used for final construction