摘要
基于云平台的海上搜救系统在遇险船舶搜寻、人员救助和搜救力量管理等方面发挥着越来越重要的作用。本文深入研究了遗传算法和蚁群优化算法的优缺点,在此基础上,提出了基于遗传和蚁群优化算法的任务调度策略,有效结合了遗传算法在全局搜索方面和蚁群算法在求解精度方面的优势,有效提高了云计算平台的处理效率。
The maritime search and rescue system based on cloud platform plays an important role in the aspects of the distress ship search,personnel rescue and rescue force management. This paper studied the advantages and disadvantages of genetic algorithm and ant colony optimization algorithm,proposed task scheduling strategy based on genetic and ant colony optimization algorithm. The strategy effectively combines the advantages of genetic algorithm in global search and ant colony algorithm in solving accuracy,and effectively improves the processing efficiency of the cloud computing platform.
出处
《舰船科学技术》
北大核心
2016年第9X期148-150,共3页
Ship Science and Technology
关键词
海上搜救系统
云计算
任务调度
maritime search and rescue system
cloud computing
task scheduling
