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Title: Discrete particle swarm optimization for the minimum labelling Steiner tree problem
Authors: Consoli, S
Moreno-Pérez, JA
Darby-Dowman, K
Mladenović, N
Keywords: Combinatorial optimization;Discrete particle swarm optimization;Heuristics;Minimum labelling steiner tree problem;Graphs and networks
Issue Date: 2009
Publisher: Springer
Citation: Natural Computing 9(1): 29-46, Jun 2009
Abstract: Particle Swarm Optimization is a population-based method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space. The improvement of the swarm is obtained from the continuous movement of the particles that constitute the swarm submitted to the effect of inertia and the attraction of the members who lead the swarm. This work focuses on a recent Discrete Particle Swarm Optimization for combinatorial optimization, called Jumping Particle Swarm Optimization. Its effectiveness is illustrated on the minimum labelling Steiner tree problem: given an undirected labelled connected graph, the aim is to find a spanning tree covering a given subset of nodes, whose edges have the smallest number of distinct labels.
ISSN: 1567-7818
Appears in Collections:Publications
Dept of Mathematics Research Papers
Mathematical Sciences

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