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Ways to solve the optimal mobility of forest complex machines in the formation of a logging enterprise
IOP Conference Series: Earth and Environmental Science Pub Date : 2020-12-02 , DOI: 10.1088/1755-1315/595/1/012064
T Matkerimov 1 , K Yakovlev 2
Affiliation  

The paper discusses solving the problem of machine mobility using an hybrid evolutionary modeled algorithm. Until now, the problem of optimizing the mobility of machines has been considered as a private problem that does not take into account the completeness of all factors affecting the process. The goal of our research is to develop a method that allows it to be used effectively to find optimization problems. The proposed method includes three concepts: optimization of mode, structural parameters and control process. We relied on the basic provisions of mathematical statistics, methods of mathematical modeling, evolutionary modeling and parameter optimization. A system of functions has been compiled to perform the task of multi-criterion optimization of the mobility parameters of forest equipment based on four criteria: cross-country ability, speed, relative turning radius and probability of failure-free operation. A metagenetic approach has been applied, which made it possible to achieve the best combination of traditionally used optimization methods and a genetic algorithm. Tests of the received algorithm were performed on standard tasks. The test results showed that the proposed method makes it possible to obtain high-quality solutions at minimum cost. The PRADIS//FRONT information system was used in calculations and plotting.



中文翻译:

某采伐企业组建中森林复合机械最优机动性的解决途径

本文讨论了使用混合进化建模算法解决机器移动性问题。到目前为止,优化机器移动性的问题一直被认为是一个私人问题,没有考虑到影响过程的所有因素的完整性。我们研究的目标是开发一种方法,使其能够有效地用于发现优化问题。该方法包括三个概念:优化模式、结构参数和控制过程。我们依靠数理统计的基本规定、数学建模方法、演化建模和参数优化。编制了一套功能系统,以执行基于四个标准的森林设备机动性参数的多标准优化任务:越野能力,速度、相对转弯半径和无故障运行的概率。已经应用了元遗传方法,这使得实现传统使用的优化方法和遗传算法的最佳组合成为可能。在标准任务上执行接收算法的测试。测试结果表明,所提出的方法可以以最小的成本获得高质量的解决方案。PRADIS//FRONT 信息系统用于计算和绘图。测试结果表明,所提出的方法可以以最小的成本获得高质量的解决方案。PRADIS//FRONT 信息系统用于计算和绘图。测试结果表明,所提出的方法可以以最小的成本获得高质量的解决方案。PRADIS//FRONT 信息系统用于计算和绘图。

更新日期:2020-12-02
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