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Artificial Intelligence Application in Modern Management

机译:现代管理中的人工智能应用

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Modern management is a science of technology that adopts analysis, test and quantification methods to make a comprehensive arrangement of the limited resources to realize an efficient operation of a practical system. Simulated annealing algorithm has become one of the important tools for solving complex optimization problems, because of its intelligence, widely used and global search ability. Genetic algorithm may prevent effectively searching process from restraining in local optimum, thus it is more possible to obtains the global optimal solution. This paper solves unconstrained programming by simulated annealing algorithm and calculates constrained nonlinear programming by genetic algorithm in modern management. So that optimization process was simplified and the global optimal solution is ensured reliably.
机译:现代管理是一种技术的科学,采用分析,测试和量化方法,以实现有限资源的全面布置,实现实际系统的有效运行。模拟退火算法已成为解决复杂优化问题的重要工具之一,因为其智能,广泛使用和全球搜索能力。遗传算法可以防止有效地搜索在局部最佳最优限制的过程中,因此更有可能获得全局最优解。本文通过模拟退火算法解决了不受约束的编程,并通过现代管理中的遗传算法计算受限的非线性规划。因此,简化了优化过程,可靠地确保全局最佳解决方案。

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