词条 | Multi-fragment algorithm |
释义 |
|class=Approximation algorithm |image= |caption= |data=Graph |time= |space= |optimal=No |complete= }} The multi-fragment (MF) algorithm is a heuristic or approximation algorithm for the travelling salesman problem (TSP) (and related problems). This algorithm is also sometimes called the "greedy algorithm" for the TSP. The algorithm builds a tour for the traveling salesman one edge at a time and thus maintains multiple tour fragments, each of which is a simple path in the complete graph of cities. At each stage, the algorithm selects the edge of minimal cost that either creates a new fragment, extends one of the existing paths or creates a cycle of length equal to the number of cities.[1] References1. ^{{cite journal |last1=Johnson |first1=David |last2=A. McGeoch |first2=Lyle |title=The Traveling Salesman Problem: A Case Study in Local Optimization |journal=Local Search in Combinatorial Optimization |date=1997 |volume=1 |url=http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.1635&rep=rep1&type=pdf}} {{algorithm-stub}} 2 : Travelling salesman problem|Approximation algorithms |
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