IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2025-01-12 DOI:10.1111/exsy.13800
Bei Tian, Gang Xiao, Yu Shen, Xingwei Jiang
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引用次数: 0

摘要

飞行测试在飞机研制过程中发挥着重要作用。目前,随着飞机复杂性的增加和验证要求的提高,亟需以高效的方式生成高质量的飞行试验任务时间表。本文提出了一个飞行试验任务调度问题(FTTSP),涉及分配合适的飞机并按给定顺序执行飞行试验任务。一般来说,飞行试验持续时间(FTD)是飞行试验任务调度的首要优化目标,因为它直接影响到飞机的研发成本和进入市场的时间。在本研究中,FTTSP 不仅考虑了 FTD,还考虑了任务转移消耗(TTC)。首先建立了一个混合整数线性规划数学模型来描述 FTTSP 的特征,并以顺序的方式对 FTD 和 TTC 进行优化。然后,提出了一种带词法优化的记忆算法(MALO),它能有效地获得高质量的解,并确保最关键的指标得到充分优化。在 MALO 中,建立了基于二叉树的双向量编码和任务逻辑关系修复机制。设计了一种空闲时间插入解码方法,以提高飞机利用率。除了选择、交叉和突变算子外,还设计了局部搜索算子来提高解的质量。最后,为 FTTSP 生成了完整的测试实例,以评估算法的性能。数值结果证明了 MALO 在生成高质量飞行测试任务时间表方面的有效性和竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Task Allocation and Sequencing for Flight Test Based on a Memetic Algorithm With Lexicographic Optimisation

The flight test plays an important role in the development of an aircraft. Currently, with the increasing complexity and higher validation requirements for aircraft, there is a crucial need to generate high-quality flight test task schedules in an efficient way. This paper proposes a flight test task scheduling problem (FTTSP), which involves assigning suitable aircraft and executing the flight test tasks in a given order. Generally, the flight test duration (FTD) is the primary optimisation objective for the flight test task schedule, as it has a direct impact on aircraft development costs and the time to enter the market. In this study, the FTTSP not only considers FTD but also takes into account task transfer consumption (TTC). A mixed-integer linear programming mathematical model is first formulated to describe the FTTSP characteristics with the optimisation of the FTD and the TTC in a sequential manner. Then, a memetic algorithm with lexicographic optimisation (MALO) is proposed, which can efficiently obtain a high-quality solution and ensure that the most critical metric can be fully optimised. In MALO, a two-vector encoding and a task logic relationship repair mechanism based on the binary tree are established. An idle time insertion decoding method is designed to improve the aircraft utilisation rate. In addition to the selection, crossover and mutation operators, a local search operator is designed to enhance the solution quality. Finally, the full-scale test instances are generated for the FTTSP to evaluate the algorithm's performance. The numerical results demonstrate the effectiveness and competitiveness of the MALO in generating a high-quality schedule for flight test tasks.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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