基于改进自适应遗传算法的海洋平台管路优化设计方法  被引量:2

Optimized piping design method for offshore platform based on improved adaptive genetic algorithm

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作  者:伊鹏[1] 刘衍聪[1] 石永军[1] 任红伟[1] 郑焕鹏[1] 

机构地区:[1]中国石油大学(华东)机电工程学院

出  处:《中国海上油气》2010年第2期134-138,共5页China Offshore Oil and Gas

基  金:国家高技术研究发展计划(863计划)经费资助项目(2006AA09A104);中国石油大学(华东)研究生创新基金资助项目(S2008-13)部分研究成果

摘  要:针对海洋平台管路系统设计周期长、效率低等问题,以平台管路优化布置为研究对象,以管段长度、弯头数和架设高度为控制目标建立数学模型,对通用自适应遗传算法进行改进,设计了奖励函数处理约束条件。模拟计算结果表明,改进的自适应遗传算法进化时间大幅度减少,稳定性和进化效率明显增强;基于该算法的海洋平台管路优化设计方法,可用于进行多约束条件下的平台管路设计,可以提高设计效率、降低管路建设成本,并为海洋平台管路三维优化设计软件的开发提供理论支持。For solving the problems of low efficiency and long period of design in offshore platform piping design process,the manifold optimizing layout on platform was taken as research object and the mathematical model was established with the controlled parameters such as pipe length,number of elbows and erection height.The common adaptive genetic algorithm was improved and the encouraging function was designed to deal with constraints.The simulation results have indicated that,the evolution time of the optimized algorithm reduced significantly,besides,the evolution stability and efficiency were improved obviously;the optimized method based on the improved adaptive genetic algorithm can accomplish the design of piping on offshore platform with constraints,so that the design efficiency raised and construction costs deduced.This piping design method provided the theoretical supports for development of three-dimensional optimized piping design software for offshore platform.

关 键 词:海洋平台 管路优化设计 遗传算法 奖励函数 

分 类 号:TP15[自动化与计算机技术—控制理论与控制工程]

 

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