用模糊遗传算法求解运输物流问题

O. Emam, Riham M. Haggag, Nanees Nabil
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引用次数: 0

摘要

最近,科学将运输定义为物流中最有力的组成部分。此外,它与商业物流有着相互依存的关系。人工智能也被介入到运输物流中,解决运输问题。此外,它还用于优化和获得关键和复杂问题的可能解决方案。本文旨在优化成本和利润,以获得使用人工智能技术的个人和组织的满意度。拟议的方法包括两个阶段。第一阶段讨论数据收集,第二阶段涉及应用FGA人工智能技术。利用提出的运输物流模型确定各产品的边界利润,并采用模糊遗传算法求解运输物流问题。据此,通过检测父母和孩子的染色体,优化运输成本来检测结果,迭代次数=2000。此外,在100个循环之间,使用GA的5个循环中,每个循环的最佳时间为1.53毫秒。同样,遗传算法也通过确定亲本和子代染色体来优化产品的最小总成本,迭代次数为2000次,在100次循环中,最优的5次循环每循环耗时1.40 ms。利用三角模糊逻辑确定各预测产品的利润边界,最小利润考虑在2000万~ 2390万之间,中等利润为2400万,最大利润大于2410万。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using a Fuzzy Genetic Algorithm for Solving Transportation Logistics Problems
Recently, Science defined transportation as the most potent component of logistics. In addition, it has an interdependent relationship with business logistics. Also, AI is intervened in transportation logistics to solve transportation issues. Also, it is used for optimizing and obtaining possible solutions for critical and complex problems. This paper aims to optimize costs and profit to get satisfaction for individuals and organizations using AI techniques. A proposed methodology consisted of two phases. The first phase discusses data collection, and the second involves applying FGA Artificial Intelligence techniques. A proposed Transportation Logistics model was used to determine boundary profit for each Product, and a Fuzzy Genetic Algorithm FGA for transportation logistics was done to solve transportation issues. According to that, outcomes were detected by optimizing the transportation cost by detecting the parent's and the child's chromosomes, and it took the number of iterations =2000. Also, between 100 loops, the best of 5 loops took 1.53 Millie seconds per loop Using GA. Similarly, GA was used for optimizing the minimum total cost of the Product also by determining parents and child chromosomes, which took the Number of iterations= 2000, and among 100 loops, the best five loops took 1.40 ms per loop. Moreover, determining the profit boundary of each predicted Product using triangular fuzzy logic shows that the minimum profit is considered between (20 million and 23.9 million), while the moderate profit is (24 million), and the maximum profit is more than (24.1 million).
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