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

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

Paolo Vannucciemail
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; in revised form: 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.
Keywords: Laminates; polar method; global optimization; swarm intelligence; parameters tuning

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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.

AMA Style

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

Chicago/Turabian Style

Vannucci, Paolo. 2009. "ALE-PSO: An Adaptive Swarm Algorithm to Solve Design Problems of Laminates." Algorithms 2, no. 2: 710-734.

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