- Type Parameters:
V- the vertex type
E- the edge type
- All Implemented Interfaces:
public class EsauWilliamsCapacitatedMinimumSpanningTree<V,E> extends AbstractCapacitatedMinimumSpanningTree<V,E>Implementation of a randomized version of the Esau-Williams heuristic, a greedy randomized adaptive search heuristic (GRASP) for the capacitated minimum spanning tree (CMST) problem. It calculates a suboptimal CMST. The original version can be found in L. R. Esau and K. C. Williams. 1966. On teleprocessing system design: part II a method for approximating the optimal network. IBM Syst. J. 5, 3 (September 1966), 142-147. DOI=http://dx.doi.org/10.1147/sj.53.0142 This implementation runs in polynomial time O(|V|^3).
This implementation is a randomized version described in Ahuja, Ravindra K., Orlin, James B., and Sharma, Dushyant, (1998). New neighborhood search structures for the capacitated minimum spanning tree problem, No WP 4040-98. Working papers, Massachusetts Institute of Technology (MIT), Sloan School of Management.
This version runs in polynomial time dependent on the number of considered operations per iteration
numberOfOperationsParameter(denoted by p), such that runs is in $O(|V|^3 + p|V|) = O(|V|^3)$ since $p \leq |V|$.
A Capacitated Minimum Spanning Tree (CMST) is a rooted minimal cost spanning tree that satisfies the capacity constrained on all trees that are connected to the designated root. The problem is NP-hard.
- July 12, 2018
- Christoph Grüne
Nested Class Summary
Nested classes/interfaces inherited from class org.jgrapht.alg.spanning.AbstractCapacitatedMinimumSpanningTree
Nested classes/interfaces inherited from interface org.jgrapht.alg.interfaces.CapacitatedSpanningTreeAlgorithm
All Methods Instance Methods Concrete Methods Modifier and Type Method Description
getCapacitatedSpanningTree()Computes a capacitated spanning tree.
getSolution()Calculates a partition representation of the capacitated spanning tree.
public EsauWilliamsCapacitatedMinimumSpanningTree(Graph<V,E> graph, V root, double capacity, java.util.Map<V,java.lang.Double> weights, int numberOfOperationsParameter)Constructs an Esau-Williams GRASP algorithm instance.
graph- the graph
root- the root of the CMST
capacity- the capacity constraint of the CMST
weights- the weights of the vertices
numberOfOperationsParameter- the parameter how many best vertices are considered in the procedure
public CapacitatedSpanningTreeAlgorithm.CapacitatedSpanningTree<V,E> getCapacitatedSpanningTree()Computes a capacitated spanning tree.
Returns a capacitated spanning tree computed by the Esau-Williams algorithm.
protected AbstractCapacitatedMinimumSpanningTree.CapacitatedSpanningTreeSolutionRepresentation getSolution()Calculates a partition representation of the capacitated spanning tree. With that, it is possible to calculate the to the partition corresponding capacitated spanning tree in polynomial time by calculating the MSTs. The labels of the partition that are returned are non-negative.
- a representation of the partition of the capacitated spanning tree that has non-negative labels.