基于种群智能优化的无人水下航行器任务分配方法研究  

Research on unmanned underwater vehicle task allocation method based on population intelligence optimization

作　　者：任梓萌 裴立冠 REN Zimeng;PEI Liguan(Matine Engineering College,Dalian Maritime University,Dalian 116026,China;Unit 91550,People's Liberation Army,Dalian 116023,China)

机构地区：[1]大连海事大学轮机工程学院,辽宁大连116026 [2]中国人民解放军91550部队,辽宁大连116023

出　　处：《应用科技》2025年第1期114-121,共8页Applied Science and Technology

摘　　要：为满足多个无人水下航行器(unmanned underwater vehicle,UUV)协同执行任务需求,提出基于种群智能优化的UUV任务分配方法。通过对多UUV执行任务情境进行分析,构建任务属性模型与任务分配优化模型,建立相应的目标函数与约束条件,根据实时在线任务分配特点,提出在线任务分配原则。基于动态交换目标算法思想,构建相应的动态降维规则,确定目标函数与约束条件;融合布谷鸟搜索算法、人工蜂群算法和混沌自适应搜索策略,根据不同寻优状态,构建3种对应的搜索机制,形成新的种群自适应优化算法,适应UUV任务分配最优解求取特点。通过仿真可得,本文算法寻优较快,可有效避免陷入局部最优,同时协同任务分配模型可有效用于预前任务分配和UUV突发任务实时在线任务分配场景。In order to meet the requirements of multiple unmanned underwater vehicles(UUVs)for performing tasks in a coordinated manner,we propose an UUV task allocation method based on population intelligence optimization.The task attribute model and task allocation optimization model are constructed through analysis of the multi-UUV task situation,establishing corresponding objective functions and constraints.The online task allocation principle is proposed according to the characteristics of real-time online task allocation.Based on the idea of dynamically exchanging target algorithm,corresponding dynamic dimensionality reduction rules are constructed,and the objective function and constraints are determined.Integrating the cuckoo search algorithm,artificial bee colony algorithm and chaotic adaptive search strategy,three corresponding search mechanisms are constructed according to different optimization states,forming a new population adaptive optimization algorithm that adapts to the optimal solution of UUV task allocation.Through simulation,it can be found that the proposed algorithm is optimized quickly,which can effectively avoid falling into local optimum,and the collaborative task allocation model can be effectively used in the pre-existing task allocation and real-time online task allocation in the UUV sudden failure/task increase scenarios.

关 键 词：无人水下航行器 任务分配 自适应智能优化算法 预前任务分配模型 实时在线分配模型 动态降维规则 局部最优 混沌自适应搜索策略 

分 类 号：TJ95[兵器科学与技术—武器系统与运用工程]