ALE-PSO: an adaptive swarm algorithm to solve design problems of laminates
type: Item
instance of: scholarly article
title: ALE-PSO: an adaptive swarm algorithm to solve design problems of laminates
zbMATH Open document ID: 1461.74004
author: Paolo Vannucci
published in: Algorithms
publication date: 2018-08-20T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 74A40
Mathematics Subject Classification ID: 74E10
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 65K10
zbMATH DE Number: 6920453
zbMATH Keywords: laminates
zbMATH Keywords: polar method
zbMATH Keywords: global optimization
zbMATH Keywords: swarm intelligence
zbMATH Keywords: parameters tuning
describes a project that uses: BIANCA
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.3390/a2020710
OpenAlex ID: W2079896882
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DOI: 10.3390/A2020710
description: scientific article; zbMATH DE number 6920453