single-state optimization

简明释义

单状态最佳化

英英释义

例句

1.In robotics, single-state optimization 单状态优化 helps in determining the most efficient path for a robot to take.

在机器人技术中，single-state optimization 单状态优化 有助于确定机器人采取的最有效路径。

2.The team applied single-state optimization 单状态优化 techniques to improve the performance of their application.

团队应用了 single-state optimization 单状态优化 技术来提高他们应用程序的性能。

3.In machine learning, single-state optimization 单状态优化 is often used to fine-tune model parameters for a specific dataset.

在机器学习中，single-state optimization 单状态优化 通常用于针对特定数据集微调模型参数。

4.The algorithm focuses on single-state optimization 单状态优化 to achieve the best performance in a controlled environment.

该算法专注于 single-state optimization 单状态优化 以在受控环境中实现最佳性能。

5.Using single-state optimization 单状态优化, we can simplify complex problems into manageable parts.

通过使用 single-state optimization 单状态优化，我们可以将复杂问题简化为可管理的部分。

作文

In the field of operations research and computer science, the concept of single-state optimization refers to the process of finding the best solution or outcome for a specific state or condition within a given problem. This method is particularly useful when dealing with complex systems where multiple variables are at play, but we want to focus on optimizing just one particular aspect of that system. For instance, consider a manufacturing company that aims to improve its production efficiency. The management may decide to implement single-state optimization by concentrating solely on reducing the time taken for a particular stage of the production line, rather than addressing every variable simultaneously. By narrowing the focus, the company can implement targeted strategies that lead to measurable improvements in that specific area.The advantages of single-state optimization are numerous. Firstly, it simplifies the decision-making process. When faced with a multitude of factors, it can be overwhelming to determine which adjustments will yield the best overall results. By isolating one state, managers and analysts can concentrate their efforts and resources on that single element, making it easier to analyze data and assess outcomes. Secondly, this approach allows for more precise measurements of success. Since the focus is on a singular state, it becomes simpler to track progress and understand the impact of any changes made.However, it is important to note that while single-state optimization can lead to significant improvements in isolated areas, it does not always account for the interdependencies that exist among various states. For example, if the manufacturing company only focuses on reducing production time without considering the quality of the output, they may inadvertently compromise the integrity of their products. Therefore, it is crucial for organizations to balance single-state optimization with a broader understanding of how different states interact with one another.In conclusion, single-state optimization is a valuable tool in the toolkit of decision-makers seeking to enhance performance in specific areas. By honing in on one particular state, organizations can streamline their processes and achieve measurable results. However, they must remain vigilant about the potential trade-offs that may arise from such a focused approach. Ultimately, the most effective optimization strategies will likely involve a combination of both single-state optimization and a holistic view of the entire system, ensuring that improvements in one area do not come at the expense of others.

在运筹学和计算机科学领域，single-state optimization（单状态优化）这个概念指的是在给定问题中寻找特定状态或条件下最佳解决方案或结果的过程。这种方法在处理复杂系统时尤为有用，因为在这些系统中涉及多个变量，但我们希望专注于优化该系统的某一特定方面。例如，考虑一家制造公司，旨在提高其生产效率。管理层可能决定通过专注于减少生产线某一特定阶段所需时间来实施single-state optimization（单状态优化），而不是同时处理每个变量。通过缩小焦点，公司可以实施针对性的策略，从而在该特定领域实现可衡量的改进。single-state optimization（单状态优化）的优势有很多。首先，它简化了决策过程。当面临众多因素时，确定哪些调整会产生最佳整体结果可能会令人不知所措。通过孤立一个状态，管理者和分析师可以将精力和资源集中在该单一元素上，使得分析数据和评估结果变得更加容易。其次，这种方法允许对成功进行更精确的测量。由于关注的是单一状态，因此跟踪进展并理解所做更改的影响变得更加简单。然而，重要的是要注意，虽然single-state optimization（单状态优化）可以在孤立区域内带来显著改善，但它并不总是考虑到不同状态之间存在的相互依赖性。例如，如果制造公司仅专注于减少生产时间，而不考虑输出质量，他们可能会无意中损害产品的完整性。因此，组织必须在实施single-state optimization（单状态优化）的同时，保持对不同状态如何相互作用的更广泛理解。总之，single-state optimization（单状态优化）是决策者在寻求提升特定领域表现时的重要工具。通过关注一个特定状态，组织可以简化其流程并实现可衡量的结果。然而，他们必须警惕这种集中方法可能带来的潜在权衡。最终，最有效的优化策略可能将包括single-state optimization（单状态优化）与对整个系统的整体视角的结合，确保一个领域的改善不会以牺牲其他领域为代价。