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

中文翻译：

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基于进化方法的防波堤多目标优化

在工程实践中，通常需要通过扩展配置来提高港口和海岸（即防波堤）现有保护结构的有效性，因为现有配置不能提供适当的环境条件。该扩展任务可以被视为一个优化问题。本文提出了防波堤优化的多目标进化方法。此外，还实现了贪婪启发式算法并将其包含在算法中，从而可以更快地获得适当的解决方案。确定附加防波堤最佳变体的任务已被用作案例研究，该变体提供安全的船舶停泊和操纵在索契黑海大港。实验结果证明了将所提出的多目标进化方法应用于实际工程问题的可能性。它允许识别可能配置的帕累托最优集，决策者可以对其进行分析并用于最终构建