CAJ | 학술논문

　　利用多蚁群并行优化算法，本文建立了带多个约束条件的某粮库粮食物流配送问题的数学模型，优化了粮食物流的配送路径；通过改进信息素的更新方式，加强了蚁群算法的自适应性，提高了收敛速度和全局搜索能力。实验结果表明，使用改进的多蚁群并行算法优化粮食配送的路径，可以快速有效地求得问题的最优解或近似最优解。
　　이용다의군병행우화산법，본문건립료대다개약속조건적모량고양식물류배송문제적수학모형，우화료양식물류적배송로경；통과개진신식소적경신방식，가강료의군산법적자괄응성，제고료수렴속도화전국수색능력。실험결과표명，사용개진적다의군병행산법우화양식배송적로경，가이쾌속유효지구득문제적최우해혹근사최우해。
This paper established the mathematical model about grain logistics and distribution problems with multiple constraints of a gra-nary and optimized the grain logistics of distribution path by using multi-ant colony optimization algorithm in parallel; it strengthened the self-adaptability of the ant colony algorithm, improved the convergence speed and the capability of global search through the improved up-date of pheromone. Experimental results show that it can obtain the optimal solution or near optimal solution more quickly and efficiently by using this improved multi ant colony parallel algorithm.