基于改进PSO的均衡性视角铁矿石运输—分配模型研究

为了使钢铁企业铁矿石供应与均衡生产匹配, 在分析库存均衡性及码头能力需求均衡性约束的基础上, 构建了基于均衡性约束的运输—分配模型。引入了一种通过位置越界处理、位置更新因子和全局最优位置未更新计数器的改进模拟退火粒子群优化算法。仿真实例表明, 该优化策略在保持较高全局搜索速度的前提下, 增强了全局寻优能力, 提高了收敛精度, 算法稳定性得到了显著改善。采用该粒子群算法应用于运输—分配模型的综合优化实例中验证了模型和算法的有效性。

Research on ore transport-distribution model based onequilibrium perspective and improved PSO

Based on perspective of supply chain equilibrium, put forward a transport-distribution optimization model after analyzing the equilibrium constraint of inventory and frequency about ships to the harbor, which adopted the combinatorial optimization. And it proposed an improved simulation annealing particle swarm optimization algorithm based on position adjustment method (PASAPSO). It introduced position violation coping strategy, position updating factor and global optimum non-updating counter to improve its algorithm performance. The experimental simulation results show that the improved PASAPSO has rapid global searching convergence, great ability of decreasing falling into local optimum risks, better convergence performance and more stability. Then applied PASAPSO to solve the problem about transport mode, which is in favor of coordination of iron ore imports of transport and subsequent production logistics.