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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2087

Title: Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem
Authors: Consoli, S
Moreno-Pérez, J A
Darby-Dowman, K
Mladenović, N
Keywords: Combinatorial optimization
Discrete Particle Swarm Optimization
Heuristics
Minimum labelling Steiner tree problem
Graphs and Networks
Publication Date: 2008
Abstract: Particle Swarm Optimization is an evolutionary 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 evolution is obtained from the continuous movement of the particles that constitute the swarm submitted to the effect of the 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.
URI: http://bura.brunel.ac.uk/handle/2438/2087
Appears in Collections:Mathematical Science
Publications
Dept of Mathematics Research Papers

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