基于混合粒子群算法的多订单转换成本研究

建立了基于关键因素的多订单转换成本模型，将遗传算法与粒子群算法相结合，采用精英保留策略，有效加快函数值的收敛速度。算例表明，该算法模型具有较好的可行性。

The multi-order conversion costs model is built based on the key factors. The gebetic algorithm is combined with the particle swarm optimization algorithm. The elite reservation strategy is used to effectively accelerate the convergence rate of the function value.The example shows that the algorithm model has good feasibility.

混合粒子群，订单转换成本，精英策略，hybrid particle swarm optimization algorithm，order conversion cost，elite strategy。

基于混合粒子群算法的多订单转换成本研究。