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

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

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)
Download PDF [313 KB, uploaded 21 April 2009]
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 Laminates; polar method; global optimization; swarm intelligence; parameters tuning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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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