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Algorithms 2009, 2(2), 710-734; doi:10.3390/a2020710

ALE-PSO: An Adaptive Swarm Algorithm to Solve Design Problems of Laminates

Institut Jean Le Rond d'Alembert – UMR CNRS 7190, Tour 55-65, Case 161 – 4, Place Jussieu, 75252 Paris Cedex 05, France
Received: 23 March 2009 / Revised: 13 April 2009 / Accepted: 16 April 2009 / Published: 21 April 2009
(This article belongs to the Special Issue Numerical Simulation of Discontinuities in Mechanics)
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Abstract

This paper presents an adaptive PSO algorithm whose numerical parameters can be updated following a scheduled protocol respecting some known criteria of convergence in order to enhance the chances to reach the global optimum of a hard combinatorial optimization problem, such those encountered in global optimization problems of composite laminates. Some examples concerning hard design problems are provided, showing the effectiveness of the approach. View Full-Text
Keywords: Laminates; polar method; global optimization; swarm intelligence; parameters tuning Laminates; polar method; global optimization; swarm intelligence; parameters tuning
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Vannucci, P. ALE-PSO: An Adaptive Swarm Algorithm to Solve Design Problems of Laminates. Algorithms 2009, 2, 710-734.

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