基于改进遗传算法的港口配煤优选方案探讨

Port Coal Blending Optimization Plan Based on an Improved Genetic Algorithm

围绕煤炭市场动向与客户定制化需求,对干散货港口个性化物流服务中的代表性业务—配煤业务进行重点研究,结合港口配煤作业实际,确定模型优先级与约束条件,构建配煤优选模型,并在模型求解与验证过程引入基于改进的遗传算法,配合解决多目标优化问题,建立起基于改进遗传算法的个性化配煤优选算法并应用于系统运算,过程中保证了运算的收敛性与高效性,生成解集保证了优选方案的适应性与多样性。

Focusing on coal market trend and customization needs,more attention is paid to coal blending,the typical business in personalized logistic service in bulk terminals.Combined with actual coal blending operation,an optimum coal blending model is built by determining the priority and constraint conditions.An improved genetic algorithm is introduced in the model solution and check process to solve multi-objective optimization problem,and a personalized coal blending optimization algorithm is established and applies to systematic calculation based on the improved genetic algorithm.The convergence and efficiency of the algorithm are ensured in the application process,and the generated solution can ensure the adaptability and diversity of the optimum plan.