Optimization Design and Application of Training Evaluation Model for Power Enterprises based on Ant Colony Algorithm

Yuanzhong Wu
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Abstract

Electric power is a renewable and sustainable energy. It has the potential to meet the world’s growing demand for electricity. The use of power in our daily life has become an important part of our lifestyle, and it is also considered to be one of the most important sources of income for many people. This paper will discuss the optimization design and application of the training evaluation model of power enterprises based on ant colony algorithm. Training optimization design is to design the best training method to solve a given problem by considering all possible methods that can be used to solve a given problem. The training evaluation model is to evaluate the effectiveness of the optimal training method through the following methods.
基于蚁群算法的电力企业培训评价模型优化设计与应用
电力是一种可再生和可持续的能源。它有潜力满足世界日益增长的电力需求。在我们的日常生活中使用电力已经成为我们生活方式的重要组成部分,也被认为是许多人最重要的收入来源之一。本文将讨论基于蚁群算法的电力企业培训评估模型的优化设计与应用。训练优化设计是通过考虑所有可能的方法来解决给定问题,设计出解决给定问题的最佳训练方法。训练评价模型是通过以下方法对最优训练方法的有效性进行评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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