基于粒子群改进算法的水下滑翔机路径优化  

Underwater glider path optimization based on improved particle swarm algorithm

作　　者：赵宝强[1] 

机构地区：[1]中国舰船研究设计中心,湖北武汉430064

出　　处：《舰船科学技术》2015年第8期140-145,共6页Ship Science and Technology

基　　金：国家科技重大专项(2011ZX05027);国家自然科学基金(51279107)

摘　　要：水下滑翔机以其低功耗、低成本和低噪声等优势在海洋科研、环境监测、资源探测和军事侦察等领域具有广阔的应用前景。基于效率最优原则的水下滑翔机路径规划对降低滑翔机的功耗和快速到达指定位置至关重要。基于水下滑翔机效率模型的路径规划问题是一种非线性混合整数规划问题,针对此类问题在建立水下滑翔机效率模型的基础上提出粒子群改进算法。利用该算法,在效率最优原则下对水下滑翔机到达指定位置的路径进行优化。通过与其他算法比较可知,该算法能够比较快速地找到质量较高的最优解,适合解决非线性混合整数规划问题。Underwater glider has broad application prospect in marine scientific research,environmental monitoring,resource exploration and military reconnaissance etc since it consumpts less energy、costs less and has less noise. Path optimization of underwater glider based on efficiency optimization principle is very important to reduce glider＇s consumption and arrive at a planned point,path optimization of underwater glider based on efficiency optimization principle is a nonlinear integer-mixed optimization problem. To solve this problem,improved particle swarm algorithm is put forward after efficiency model of underwater glider is built and then the improved particle swarm algorithm is used to optimize the path of glider to arrive at a planned point,compared with other algorithms,this algorithm turns out to be very quick and suits to solve nonlinear mixed integer programming problem.

关 键 词：水下滑翔机 路径优化 效率模型 粒子群改进算法 

分 类 号：P715.5[天文地球—海洋科学]