Engineering an efficient two-phase local search algorithm for the co-rotating twin-screw extruder configuration problem

Teixeira, Cristina; Covas, J. A.; Stützle, Thomas; Gaspar‐Cunha, A.

doi:10.1111/j.1475-3995.2010.00798.x

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…Later, the robustness of the solutions, considering changes in the value of the decision variables, was also taken into account [ 60 ]. An alternative approach using Stochastic Local Search (SLS) algorithms to tackle the SC problem was also attempted [ 79 ]. An efficient single-objective iterative improvement strategy, based on various neighbourhood structures, neighbourhood search strategies, and neighbourhood restrictions, was proposed, whereby the algorithms were embedded into a variation of a bi-objective two-phase local search (TPLS) framework.…”

Section: Optimization Algorithms In Polymer Processingmentioning

confidence: 99%

Optimization of Polymer Processing: A Review (Part I—Extrusion)

2022

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Given the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization methodologies to the main polymer processing operations. The most important characteristics related to the usage of optimization techniques, such as the nature of the objective function, the type of optimization algorithm, the modelling approach used to evaluate the solutions, and the parameters to optimize, are discussed. The aim is to identify the most important features of an optimization system for polymer processing problems and define the best procedure for each particular practical situation. For this purpose, the state of the art of the optimization methodologies usually employed is first presented, followed by an extensive review of the literature dealing with the major processing techniques, the discussion being completed by considering both the characteristics identified and the available optimization methodologies. This first part of the review focuses on extrusion, namely single and twin-screw extruders, extrusion dies, and calibrators. It is concluded that there is a set of methodologies that can be confidently applied in polymer processing with a very good performance and without the need of demanding computation requirements.

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Section: Optimization Algorithms In Polymer Processingmentioning

confidence: 99%

Optimization of Polymer Processing: A Review (Part I—Extrusion)

2022

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“…Later, the robustness of the solutions, considering changes in the value of the decision variables, was also taken into account [60]. An alternative approach using Stochastic Local Search (SLS) algorithms to tackle the SC problem was also attempted [79]. An efficient single-objective iterative improvement strategy, based on various neighborhood structures, neighborhood search strategies, and neighborhood restrictions, was proposed, whereby the algorithms were embedded into a variation of a bi-objective twophase local search (TPLS) framework.…”

Section: Twin-screw Extrusionmentioning

confidence: 99%

Optimization of Polymer Processing: A Review (Part I- Extrusion)

Gaspar‐Cunha¹,

Sikora²,

Covas³

2021

Preprint

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Given the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization methodologies to the main polymer processing operations. The most important characteristics related with the usage of optimization techniques, such as the nature of the objective function, the type of optimization algorithm, the modelling approach used to evaluate the solutions, and the parameters to optimize, are discussed. The aim is to identify the most important features of an optimization system for polymer processing problems, and define the best procedure for each particular practical situation. For this purpose, a state-of-the-art of the optimization methodologies usually employed is first presented, followed by an extensive review of the literature dealing with the major processing techniques, the discussion being completed by considering both the characteristics identified and the available optimization methodologies. This first part of the review focus on extrusion, namely extruders, extrusion dies and calibrators. It is concluded that there is a set of methodologies that can be confidently applied in polymer processing, with a very good performance and without the need of demanding computation requirements.

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“…This is noteworthy, since by having only 10 independent runs of each algorithm, the power of the test is not very high. Finally, the performance of the MOACO algorithm was compared with the earlier results obtained with the TPLS algorithm (Teixeira et al 2011). (To limit the length of this paper, the detailed results with the plots of EAF differences can be found in the online available supplementary pages in Figures 27 to 30).…”

Section: Comparison With Rpsga and Tplsmentioning

confidence: 99%

“…A first step attempted by the authors consisted in applying multi-objective extensions of local search algorithms to the TSCP. In particular, the use of iterative improvement algorithms embedded into the two-phase local search (TPLS) framework provided good results in comparison with RPSGA (Teixeira et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective ant colony optimization for the twin-screw configuration problem

Teixeira

Covas

Stützle

et al. 2012

Engineering Optimization

Self Cite

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The Twin-Screw Configuration Problem (TSCP) consists in identifying the best location of a set of available screw elements along a screw shaft. Due to its combinatorial nature, it can be seen as a sequencing problem. In addition, different conflicting objectives may have to be considered when defining a screw configuration and, thus, it is usually tackled as a multi-objective optimization problem. In this research, a multi-objective ant colony optimization (MOACO) algorithm was adapted to deal with the TSCP. The influence of different parameters of the MOACO algorithm was studied and its performance was compared with that of a previously proposed multi-objective evolutionary algorithm and a two-phase local search algorithm. The experimental results showed that MOACO algorithms have a significant potential for solving the TSCP.

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Engineering an efficient two-phase local search algorithm for the co-rotating twin-screw extruder configuration problem

Cited by 6 publications

References 14 publications

Optimization of Polymer Processing: A Review (Part I—Extrusion)

Optimization of Polymer Processing: A Review (Part I—Extrusion)

Optimization of Polymer Processing: A Review (Part I- Extrusion)

Multi-objective ant colony optimization for the twin-screw configuration problem

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