Concatenation-Based Greedy Heuristics for the Euclidean Steiner Tree Problem

Algorithmica ◽  
1999 ◽  
Vol 25 (4) ◽  
pp. 418-437 ◽  
Author(s):  
M. Zachariasen ◽  
P. Winter
2019 ◽  
Author(s):  
Andrey Oliveira ◽  
Danilo Sanches ◽  
Bruna Osti

This paper presents a genetic algorithm for the Euclidean Steiner tree problem. This is an optimization problem whose objective is to obtain a minimum length tree to interconnect a set of fixed points, and for this purpose to be achieved, new auxiliary points, called Steiner points, can be added. The proposed heuristic uses a genetic algorithm to manipulate spanning trees, which are then transformed into Steiner trees by inserting and repositioning the Steiner points. Greedy genetic operators and evolutionary strategies are tested. Results of numerical experiments for benchmark library problem (OR-Library) are presented and discussed.This paper presents a genetic algorithm for the Euclidean Steiner tree problem. This is an optimization problem whose objective is to obtain a minimum length tree to interconnect a set of fixed points, and for this purpose to be achieved, new auxiliary points, called Steiner points, can be added. The proposed heuristic uses a genetic algorithm to manipulate spanning trees, which are then transformed into Steiner trees by inserting and repositioning the Steiner points. Greedy genetic operators and evolutionary strategies are tested. Results of numerical experiments for benchmark library problem (OR-Library) are presented and discussed.


2018 ◽  
Vol 14 (2) ◽  
pp. 409-415 ◽  
Author(s):  
Claudia D’Ambrosio ◽  
Marcia Fampa ◽  
Jon Lee ◽  
Stefan Vigerske

Author(s):  
David Whittle ◽  
Marcus Brazil ◽  
Peter A. Grossman ◽  
J. Hyam Rubinstein ◽  
Doreen A. Thomas

2021 ◽  
Author(s):  
◽  
Geoffrey Ross Grimwood

<p>In this thesis the Euclidean Steiner tree problem and the optimisation technique called simulated annealing are studied. In particular, there is an investigation of whether simulated annealing is a viable solution method for the problem. The Euclidean Steiner tree problem is a topological network design problem and is relevant to the design of communication, transportation and distribution networks. The problem is to find the shortest connection of a set of points in the Euclidean plane. Simulated annealing is a generally applicable method of finding solutions of combinatorial optimisation problems. The results of the investigation are very satisfactory. The quality of simulated annealing solutions compare favourably with those of the best known tailored heuristic method for the Euclidean Steiner tree problem</p>


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