精确的算法,以最大限度地减少反在新能源产品开发中的反
Peng Wang1, Guangqi Ma1, Xiaoyan Ma1
1School of Economics and Management, Shaanxi University of Science and Technology, University Park of Weiyang District, Xi'an, Shaanxi, 710021, China.
本研究引入了一种新的算法,以优化新能源技术开发中的任务序列,最大限度地减少项目延迟. 哈希增强的并行分支和边界 (PBB) 算法有效地解决复杂的设计结构矩阵 (DSM) 问题.
科学领域:
- 工程管理工程管理工程管理
- 运营研究 运营研究
- 计算机科学 计算机科学
背景情况:
- 有效的项目管理对于快速开发新能源技术至关重要.
- 设计结构矩阵 (DSM) 模拟任务相互依赖性,但可能会因为反循环而出现延迟.
研究的目的:
- 解决DSM中的反循环问题,以改善项目管理.
- 开发一个高效的算法,以优化复杂项目的任务序列.
主要方法:
- 介绍了反最小化问题的两个新特性.
- 开发了一个并行分支和边界 (PBB) 算法.
- 通过哈希函数增强了 PBB 算法,以提高计算效率.
主要成果:
- 哈希增强的 PBB 算法在一个小时内高效地解决 DSM 实例的 40 个活动.
- 拟议的算法在计算效率方面明显优于传统方法.
- 经过精确和可扩展的优化,用于复杂的产品开发.
结论:
- 哈希增强的 PBB 算法为优化复杂项目任务序列提供了有效的解决方案.
- 这种方法提高了管理新能源技术开发项目的效率和可扩展性.
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