基于遗传算法的云车辆工程分析与决策

H. Liu, Zhaofang Duan, Zishuai Zu, Jinbin Wang, Mingrui Han
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引用次数: 0

摘要

绿色制造是一种具有显著社会效益和经济效益的现代制造模式,是国内外研究的前沿和热点。车间计划作为绿色生产系统的操作技术优化、管理和技术开发的基础,在绿色生产理论研究中具有重要的作用。近年来,N - P遗传算法已逐渐应用于求解车间优化问题。在该方法中,系统生成问题的初始整体解,然后选择最佳解进行进一步改进。这个过程一直持续,直到用尽所有可能的解或通过指定的代数。遗传算法在工程应用中经常被使用,因为它提供了一种基于经验的决策方法,而不是仅仅依赖于规则和公式。该技术利用遗传算法为分析和决策提供了有效的解决方案,有助于在有限的时间和资源下解决复杂的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and decision of cloud vehicle engineering based on genetic algorithm
Green manufacturing is a modern manufacturing mode with significant social and economic benefits, so it is a frontier and hot topic at home and abroad. As the basis of operation technology optimization, management and technology development of green production system, workshop planning plays an important role in the research of green production theory. In recent years, N - P genetic algorithm has been gradually applied in solving workshop optimization problems. In this method, the system generates the initial overall solution of the problem, and then selects the best solution for further improvement. This process continues until all possible solutions are exhausted or through a specified algebra. Genetic algorithms are often used in engineering applications because they provide a decision-making method based on experience rather than relying only on rules and formulas. This technology provides an effective solution for analysis and decision-making by using genetic algorithm, which is helpful to solve the complex problems with limited time and resources.
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