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篇名 |
A Robust GA/PSO-Hybrid Algorithm in Intelligent Shipping Route Planning Systems for Maritime Traffic Networks
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並列篇名 | A Robust GA/PSO-Hybrid Algorithm in Intelligent Shipping Route Planning Systems for Maritime Traffic Networks |
作者 | Zhao Liu、Jingxian Liu、Feng Zhou、Ryan Wen Liu、Naixue Xiong |
英文摘要 | The development of intelligent shipping route planning systems is important for maritime traffic networks, and has attracted considerable attention in the field of marine traffic engineering. In practical applications, the traditional experience-based planning scheme has been widely used due to its simplicity and easy implementations. However, the traditional manual procedure is experiencedependent and time-consuming, which may easily lead to unstable shipping route planning in different waters. The purpose of this study automatically and robustly determines that the optimal shipping route is based on artificial intelligence approaches. It is general that Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are almost the most popular methods in route planning. These two heuristic-based optimization techniques benefit from their specific advantages when solving different optimization problems. In this paper, we proposed a hybrid heuristic scheme by integrating GA and PSO to improve the accuracy and robustness of shipping route planning in restricted waters. The experimental results about both synthetic and real-world problems have demonstrated that our proposed hybrid approach outperforms the existing schemes in terms of both accuracy and robustness, and the approach is helpful for optimizing maritime traffic network for the links of terminals. |
起訖頁 | 1635-1644 |
關鍵詞 | Intelligent systems engineering、Maritime traffic network、Shipping route planning、Restricted waters、Artificial intelligence algorithm |
刊名 | 網際網路技術學刊 |
期數 | 201811 (19:6期) |
出版單位 | 台灣學術網路管理委員會 |
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