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A RESEARCH ON TECHNIQUES, MODELS AND METHODS PROPOSED FOR SHIP COLLISION AVOIDANCE PATH PLANNING PROBLEM

机译:船舶碰撞避免路径规划问题提出的技术,模型和方法研究

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摘要

The development of soft computing techniques in recent years has encouraged researchers to study on the path planning problem in ship collision avoidance. These techniques have widely been implemented in marine industry and technology-oriented novel solutions have been introduced. Various models, methods and techniques have been proposed to solve the mentioned path planning problem with the aim of preventing reoccurrence of the problem and thus strengthening marine safety as well as providing fuel consumption efficiency. The purpose of this study is to scrutinize the models, methods and technologies proposed to settle the path planning issue in ship collision avoidance. The study also aims to provide certain bibliometric information which develops a literature map of the related field. For this purpose, a thorough literature review has been carried out. The results of the study have pointedly showed that the artificial intelligence methods, fuzzy logic and heuristic algorithms have greatly been used by the researchers who are interested in the related field.
机译:近年来软计算技术的开发鼓励研究人员研究避税避雷的路径规划问题。这些技术在海洋工业中广泛实施,并引入了技术为导向的新型解决方案。已经提出了各种模型,方法和技术来解决提到的路径规划问题,目的是防止问题的再次性,从而加强海洋安全以及提供燃料消耗效率。本研究的目的是仔细审查建议解决船舶碰撞避免路径规划问题的模型,方法和技术。该研究还旨在提供一种开发相关领域的文献地图的某些伯格计数信息。为此,已经进行了彻底的文献综述。研究结果表明,对相关领域感兴趣的研究人员来说,人工智能方法,模糊逻辑和启发式算法非常使用。

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