复杂系统可靠性冗余优化的量子粒子群算法研究

由于复杂系统可靠性函数常常具有非线性的特点，因此如何确定复杂系统各单元冗余数，设计既满足可靠度要求、又使系统成本最小是冗余优化问题中的难点。针对复杂系统的特点，提出了基于量子粒子群算法的求解方法。根据数学模型，详细探讨了量子粒子群算法在系统的可靠性优化计算中应用的可行性，并给出了基于粒子群算法的可靠性的求解策略，同时对桥式系统的可靠性优化设计问题进行分析计算。仿真表明，该算法具有较强的局部搜索能力，与其他方法相比，该算法有较高的搜索效率，能够找到更优的解。最后验证了该算法在复杂系统可靠性优化中的可行性和有效性。

QPSO- based Reliability Redundancy Optimization for Complex System

Complex system reliability function is nonlinear,it is difficult to design a system which is satisfied reliability condition and also has minimum cost.The paper presents the way to apply Quantum Particle Swarm Optimization(QPSO)in optimization of complex system reliability.According to the mathematic model,it puts forward the detailed steps based on QPSO,analyzes the reliability distribution of bridge connection system.At last,by calculations of the example and comparison with other algorithms,it proves the algorithm has much stronger ability of local search and better search efficiency,certifies that this method is feasible and valid.