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The '''multi-fragment (MF) algorithm''' is an [[heuristic]] or [[approximation algorithm|approximation]] algorithm for the [[travelling salesman problem]] (TSP) (and related problems). This algorithm is also sometimes called the "greedy algorithm" for the TSP.
The '''multi-fragment (MF) algorithm''' is a [[heuristic]] or [[approximation algorithm|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.<ref name="johnson1997">{{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}}</ref>
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.<ref name="johnson1997">{{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}}</ref>

Revision as of 08:14, 13 February 2019

Multi-fragment algorithm
ClassApproximation algorithm
Data structureGraph
Worst-case performance
OptimalNo

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]

References

  1. ^ Johnson, David; A. McGeoch, Lyle (1997). "The Traveling Salesman Problem: A Case Study in Local Optimization". Local Search in Combinatorial Optimization. 1.