Optimum Distribution of Aseismic Engineering Investment for Gas Pipeline Network System Based on Improved Particle Swarm Algorithm
Under the limit of engineering investment, the aseismic optimum design of pipeline system is used to minimize the sum of aseismic cost. Since optimal problem is an nonlinear hybrid model which involves dual curse of dimensionality during the mathematical programming and system reliability calculation, traditional optimal techniques can hardly solve the problems of distribution of aseismic engineering investment for lifeline network system. Evolutionary-based particle swarm algorithm has been investigated and the improved design of inertia weight has been fulfilled in this paper. A new hybrid particle swarm algorithm makes use of the ergodicity of chaos to improve the capability of precise search and keep the balance between the global search and the local search. Combining with Boolean cubical matrix disjoint calculation method used as aseismic reliability analysis tool of network system, the improved algorithm is applied to the optimization solution of investment distribution for gas pipeline network .The analysis of an example in a certain pipeline network system demonstrates that the established model and algorithm can achieve better convergent performance and speed.
gas pipeline network aseismic optimum design distribution of investment particle swarm optimization algorithm inertia weight chaos
LIU Wu GU Xue-qin LIU Yi WANG Deng-hai
School of Petroleum Engineering,Southwest Petroleum UniversityChengdu, China School of Electron and Information Engineering,Southwest Petroleum University Chengdu, China Xian Changqing Technology Engineering Co. LTD,Xing Long Yuan Residential Quarters Xian, China Xian Changqing Technology Engineering Co. LTD, Xing Long Yuan Residential Quarters Xian, China
国际会议
长沙
英文
2175-2178
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）