摘要
随着全球化竞争的加剧和客户要求的不断提高,传统的生产管理方式使企业无法应对激烈竞争的挑战。量子粒子群算法是将量子计算理论和基本粒子群算法相结合的一种崭新的优化算法。将量子粒子群算法用于求解生产、采购集成决策问题。仿真结果证明了量子粒子群算法在供应链集成决策问题上的可行性、有效性和优越性。
As global competition intensifies and customers de- mand continuous changes, enterprises could not cope with the challenges of intense competition with the traditional production management. Quantum particle swarm optimization algo- rithm is a new optimization algorithm, which combines the quantum computing theory and particle swarm optimization al- gorithm. The quantum particle swarm algorithm was used to solve integrated production--distribution planning in supply chain problem simulation results show that： effectiveness and superiority of quantum particle swarm algorithm are demon- strated in comparing with the results derived from other corre- sponding literature.
出处
《物流科技》
2010年第5期95-97,共3页
Logistics Sci-Tech
关键词
供应链集成
量子计算
量子粒子群算法
supply chain integration
quantum computing quantum
particle swarm optimization
