关于近似出行销售员问题的新概括
Zhengxin Huang1, Xuanzhi Liao1,2, Parvaiz Ahmad Naik1
1Department of Mathematics and Computer Science, Youjiang Medical University for Nationalities, Baise 533000, China.
Heliyon
|May 31, 2024
概括
本研究介绍了最小成本有限度连接子图 (MBDCS) 问题,这是旅行销售员问题 (TSP) 的概括. 我们开发了一个近似算法,为MBDCS提供了更好的性能保证.
科学领域:
- 图形理论 图形理论
- 组合优化的优化.
- 计算机科学 算法 算法
背景情况:
- 旅行销售员问题 (TSP) 具有成熟的近似算法,目前最好的保证可以追溯到47年前.
- 现有的TSP算法可能无法解决解决方案子图中顶点度的约束.
- 存在对算法的需求,这些算法可以为附加约束的TSP概括找到最佳或近最佳的解决方案.
研究的目的:
- 引入和定义最小成本有限度连接子图 (MBDCS) 问题.
- 为MBDCS问题开发一个近似算法.
- 为拟议的MBDCS算法建立性能保证.
主要方法:
- 使用整数编程制定MBDCS问题.
- 应用代圆对整数编程放松的解决方案.
- 在特定假设下分析拟议算法的近似比率.
主要成果:
- 拟议的算法为MBDCS问题提供了多项式时间近似.
- 该算法实现了MBDCS最著名的性能保证之一,假设.
- 在特定图形实例中证明MBDCS和TSP之间的等价性.
结论:
- MBDCS 问题是 TSP 的一个相关的概括.
- 开发的代圆算法为MBDCS提供了强大的近似保证.
- 这项研究可能为未来的TSP优化研究提供新的视角.
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