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.