Layout optimization of truss structures by hybridizing cellular automata and particle swarm optimization

Gholizadeh, Saeed

doi:10.1016/j.compstruc.2013.04.024

Cited by 108 publications

(43 citation statements)

References 34 publications

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“…However, the usage of these rules individually allowed us to find the optimum values only of some testing objective functions from the plurality of the examined ones. Using the rule (2) we were able to get the optimum of the function 9  with the error not more than 0.03, and using the rule (3) it was possible to get the optima of the functions 3  , 4  , and 8  with the error not more than 0.05.…”

Section: Functionmentioning

confidence: 89%

“…In [9] the cellular automata approach is applied to improve the particle swarm optimization algorithm. For this purpose, the authors of the paper introduce the concept of particle neighborhood which is perceived as an assemblage of particles of the swarm closest to the given particle.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, a special feature of the given research consists in specificity of the considered problem of optimization. The offered in [9] hybrid algorithm is used for optimization of truss structures.…”

Section: Introductionmentioning

confidence: 99%

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The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

et al. 2016

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This article is devoted to the application of the cellular automata mathematical apparatus to the problem of continuous optimization. The cellular automaton with an objective function is introduced as a new modification of the classic cellular automaton. The algorithm of continuous optimization, which is based on dynamics of the cellular automaton having the property of geometric symmetry, is obtained. The results of the simulation experiments with the obtained algorithm on standard test functions are provided, and a comparison between the analogs is shown.

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Section: Functionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

et al. 2016

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“…Conversely, setting the penalty parameter to a large value leads to amplify the effect of optimization constraints and the optimization process may get stuck in a local optimum. This dependency of the optimization algorithms performance on penalty parameters has led researchers to devise efficient method for constraint handling [30].…”

Section: Formulation Of Optimal Design Of Structuresmentioning

confidence: 99%

Enhanced Versions of the CBO Algorithm

Kaveh

Mahdavi

2015

Colliding Bodies Optimization

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“…In recent years, several powerful metaheuristic optimization algorithms have been proposed and in the field of structural engineering their many successful applications have been reported in the literature. Metaheuristic methods such as genetic algorithm (GA), particle swarm optimization (PSO) (Gholizadeh 2013;Leung and Zhang 2009), ant colony optimization (ACO), simulated annealing, big bang-big crunch and harmony search (HS) (Bekdas and Nigdeli 2011;Fadel Miguel, Lopez, and Miguel 2013;Gholizadeh and Barzegar 2012) have been investigated to solve optimization problems. For optimization of passive dampers such as tuned mass damper (TMD) and viscous elastic damper (VED), metaheuristic methods have 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 2 M.N.S.…”

Section: Introductionmentioning

confidence: 99%

Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

Hadi

2014

Engineering Optimization

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This study proposes the optimal passive and active damper parameters for achieving the best results in seismic response mitigation of coupled buildings connected to each other by dampers. The optimisation to minimise the H2 and H-norms in the performance indices is carried out by genetic algorithms (GAs). The final passive and active damper parameters are checked for adjacent buildings connected to each other under El Centro NS 1940 and Kobe NS 1995 excitations. Using real coded GA in H-norm, the optimal controller gain is obtained by different combinations of the measurement as the feedback for designing the control force between buildings. The propsed method is more effective than other metaheuristic methods and more feasible, although the contol force increased. The results ifn the active control system show that the response of adjacent buildings is reduced in an efficient manner. 1. Please check these proofs carefully. It is the responsibility of the corresponding author to check these and approve or amend them. A second proof is not normally provided. Taylor & Francis cannot be held responsible for uncorrected errors, even if introduced during the production process. Once your corrections have been added to the article, it will be considered ready for publication.Please limit changes at this stage to the correction of errors. You should not make insignificant changes, improve prose style, add new material, or delete existing material at this stage. Making a large number of small, non-essential corrections can lead to errors being introduced. We therefore reserve the right not to make such corrections.For detailed guidance on how to check your proofs, please see http://journalauthors.tandf.co.uk/production/checkingproofs.asp. The reference "Hadi and Arfiadi (2011)" is cited in the text but is not listed in the reference list. Please either delete in-text citation or provide full reference details following journal style. Please review the AQ3The spelling of Name for "Bektas and Nigdeli (2011)" has been changed to Bekdas and Nigdeli (2011) to match the entry in the reference list. Please confirm that this is correct and provide revisions if needed. AQ4The reference "Pourzeynali et al. (2006)" is cited in Tables 8 and 9 but is not listed in the reference list. Please either delete in-text citation or provide full reference details following journal style. How to make corrections to your proofs using Adobe AcrobatTaylor & Francis now offer you a choice of options to help you make corrections to your proofs. Your PDF proof file has been enabled so that you can edit the proof directly using Adobe Acrobat. This is the simplest and best way for you to ensure that your corrections will be incorporated. If you wish to do this, please follow these instructions:1. Save the file to your hard disk.2. Check which version of Adobe Acrobat you have on your computer. You can do this by clicking on the "Help" tab, and then "About."If Adobe Reader is not installed, you can get the latest version free from http://get.a...

show abstract

Layout optimization of truss structures by hybridizing cellular automata and particle swarm optimization

Cited by 108 publications

References 34 publications

The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

Enhanced Versions of the CBO Algorithm

Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

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