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Abstract: This study compares a number of selection regimes for the choosing of a gbest, Ibest and pbest for swarm members in multi-objective particle swarm optimisation (MOPSO). Selection methods are drawn from the recent literature, with new methods based on the recent dominated tree data structure. These are validated using a number of well known 2 objective test functions. Of the 16 MOPSOs compared there is no single clear best method. However, combinations of selection method can be ranked in... (Update)
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BibTeX entry: (Update)
@misc{ fieldsend-selection,
author = "Jonathan E. Fieldsend and Sameer Singh",
title = "On the Selection of Gbest, Lbest and Pbest Individuals, the Use of turbulence
and the impact of inertia in multi-objective PSO.",
url = "citeseer.ist.psu.edu/fieldsend02selection.html" }
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