基于多目标进化的声纳浮标阵列布局优化方法及电子设备
By constructing a multi-objective evolutionary sonar buoy array layout optimization method, a diverse subarray module library is generated. The problem of poor adaptability in sonar buoy array layout optimization is solved by using multi-objective evolutionary population iterative solution, and dynamic balance and efficient coverage of multiple objectives are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for optimizing the layout of sonar buoy arrays lack flexible subarray modularization mechanisms, making it difficult to achieve multi-target balanced optimization. This results in poor adaptability of the deployment scheme to the mission and a lack of efficient means for quantitative evaluation of the detection area.
A multi-objective evolutionary sonar buoy array layout optimization method is constructed. By building a sonar buoy subarray module library, initializing a multi-objective evolutionary population, iteratively solving for the optimal solution set, generating diverse layout schemes, and combining multi-objective fitness values and evolutionary operations, dynamic equilibrium of multiple objectives is achieved.
It achieves flexible adaptation to different detection tasks, breaks through the limitations of fixed module structure, takes into account the diversity of subarrays and the efficiency of container deployment, and improves the adaptability and coverage performance of deployment schemes.
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Figure CN122113329B_ABST