摘要
在油田地面工程设计中,地面管网布局占有很大比重。为了优化布局和节约投资,结合邻近粒子群算法给出了油田地面管网布局数学模型,根据模型特点,采用改进邻近粒子信息的粒子群算法进行求解。为了有效地平衡算法在管网布局的全局探索和局部寻优,采用了时变加速因子策略。实例计算表明,改进的邻近粒子信息的粒子群算法优于遗传优化方法。
In the oilfields,the pipeline design is very important.For optimizing the layout and saving the investment,this paper introduces optimization mathematical models of the oilfield pipe network with a new modified particle swarm optimization(MPSO)with information of the closest particle.According to the characteristics of models,it is solved by the procedure of MPSO.To balance the trade-off between exploration and exploitation and convergence to the global optimum solution,a linearly varying acceleration coefficient over the generations is introduced.Its fundamental principal and its basic procedures are also presented.The example results show that the MPSO algorithm has better probability of finding global optimum and mean best value than genetic algorithm.
出处
《长江大学学报（自科版）（上旬）》
CAS
2010年第3期80-82,共3页
JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI ＆ ENG
关键词
粒子群算法
油田管网
优化
oilfield pipe line
modified particle swarm optimization
optimization
