Railway logistics yard container handling equipment scheduling method and device
By optimizing the initial layout and scheduling methods of loading and unloading equipment at railway logistics stations, and combining multi-level optimization strategies, the resource conflict and path interference problems in multi-track gantry crane scheduling were solved, achieving equipment load balancing and improved operational efficiency, and overcoming the local optima and premature convergence defects of existing algorithms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF COMPUTING TECH CHINA ACAD OF RAILWAY SCI
- Filing Date
- 2025-09-28
- Publication Date
- 2026-05-26
AI Technical Summary
In railway logistics yards, existing technologies for multi-track gantry crane scheduling face challenges such as track resource conflicts, path interference, uneven task loads, and the complexities brought about by dynamic changes. Traditional scheduling methods struggle to balance multiple objectives and constraints, while intelligent optimization algorithms are unstable under initial position assumptions and are prone to getting trapped in local optima.
A tabu search-pull hypercube hybrid strategy is adopted to optimize the initial layout of loading and unloading equipment. Combining the five-layer optimization approach of encoding-decoding-fitness evaluation-genetics-local reinforcement, the candidate scheduling scheme is optimized through the earliest feasible insertion heuristic and elite retention and adaptive crossover mutation mechanism to meet the constraints of operation timeliness, equipment load balance and track interference.
It significantly improves global search capability and local convergence accuracy, optimizes operation time and resource utilization, enhances the operation efficiency and resource utilization level of railway logistics stations, and solves the problems of premature convergence and slow convergence in traditional scheduling methods.
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Figure CN121481028B_ABST