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Objective By investigating the adaptability relationship between prefabricated track slab dimensions and track alignments, and proposing reasonable prefabricated slab dimensions based on corresponding constraints, a basis for the engineering design and standardization of prefabricated track slabs is provided. Method Prefabricated track slabs can achieve planar curve alignment through substituting straight segments for curved segments and adjusting fasteners laterally. Construction of transition curve and vertical curve alignment is achieved through adjusting fasteners vertically. The expressions of the allowable lateral and vertical adjustment amounts of the fasteners in relation to slab length are derived based on geometric relationships. Through geometric relationships, the expression of the relationship between prefabricated slab length and width is determined based on the allowable value of slab gaps. Result & Conclusion Research shows that the track slab length limit is closely related to the allowable lateral and vertical adjustment amounts of the fasteners, while the alignment is not a limiting factor for prefabricated slab width. It is recommended to set the allowable lateral adjustment of fasteners to 2 mm, and the allowable vertical adjustment to 15 mm. For the same line, it is suggested that the specifications of prefabricated slab lengths should not exceed two types. When track curve radius is R ≥ 950 m, slabs with a length of 5.9 m are recommended. For curve radii 300 m ≤ R < 950 m, slabs with a length of 3.5 m are recommended. When R

Cooperative search is a future development direction in the field of cruise missile multi-projectile control, and its research is helpful for cruise missile to adapt to the future battlefield intelligent operation requirements. To solve the problem of efficient target search of cruise missile cluster in the absence of prior environmental information, an improved pheromone fast collaborative search algorithm based on correlation location error is proposed, which selects elite individuals within the group to lead the search of cluster members. On the basis of this, this paper combines cross direction finding, position control, information fusion, autonomous grouping and other methods to build a specific implementation architecture suitable for cruise missile cluster. Through numerical simulation analysis and comparison, the architecture constructed in this paper can realize the location of cruise missile cluster to multiple unknown targets in the sea-skimming scenario, and the proposed enhanced pheromone search algorithm can improve the efficiency of collaborative search.

This paper describes the development of BOLE, a MATLAB-based interactive learning environment, that facilitates the process of learning bio-inspired optimization algorithms, and that is dedicated exclusively to unmanned aerial vehicle path planning. As a complement to conventional teaching methods, BOLE is designed to help students consolidate the concepts taught in the course and motivate them to explore relevant issues of bio-inspired optimization algorithms through interactive and collaborative learning processes. BOLE differs from other similar tools in that it places greater emphasis on fundamental concepts than on complex mathematical equations. The learning tasks using BOLE can be classified into four steps: introduction, recognition, practice, and collaboration, according to task complexity. It complements traditional classroom teaching, enhancing learning efficiency and facilitating the assessment of student achievement, as verified by its practical application in an undergraduate course "Bio-Inspired Computing." Both objective and subjective measures were evaluated to assess the learning effectiveness.