基于遗传算法的供应链联盟伙伴选择

在建立供应链联盟伙伴选择多目标决策模型的基础上，提出了一种求解供应链联盟伙伴选择优化问题的自适应遗传算法，并给出了算例．该算法设计了自适应交叉概率和变异概率，使每个个体在遗传过程中对环境变化具有自适应调节能力．算例结果表明，用该方法能以较快的速度收敛于全局最优解．

Partner Selection in Supply Chain Alliance Based on Genetic Algorithm

On the basis of establishing the multi-objective decision-making model for partner selection, a self-adaptive genetic algorithm was proposed to optimize partner selection in a supply chain alliance, and an example was given. In this genetic algorithm, each member in a supply chain alliance has a self-adaptive ability to changes in environment in the genetic process through designing crossover probability and mutation probability. The example result shows that in the genetic algorithm the optimum global solution can be gained and the convergence speed is fast.