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)
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.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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MDPI and ACS Style
Vannucci, P. ALE-PSO: An Adaptive Swarm Algorithm to Solve Design Problems of Laminates. Algorithms 2009, 2, 710-734.
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