Truss Optimization with Natural Frequency Constraints Using Modified Social Engineering Optimizer

Millan-Paramo, Carlos; Millán-Romero, Euriel; Wilches, Fernando Jove

doi:10.37624/ijert/13.11.2020.3950-3963

Cited by 4 publications

(5 citation statements)

References 33 publications

(40 reference statements)

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“…(6) Power/energy systems [42,314,315] and renewable energy systems [291,295,316]; (7) Transportation [292,294] and civil engineering [317,318]; (8) Design of engineering/mechanical structures [289,319]; (9) Natural language processing [320]; (10) Machine learning [276,288,[321][322][323]; (11) Ontology engineering [211,273]; (12) Cloud computing security [324]; (13) Bioinformatics [175,176].…”

Section: Other Situationsmentioning

confidence: 99%

“…(iv) Hybridisation: It will be interesting to explore diferent combinations of multiple compact logics. [323] Tree VS variants Truss frequency constrained optimisation [319] A modifed SEO algorithm Distributed denial of services mitigation in cloud computing [324] SRD/SRD Clustering and codebook problems [179] MSMS Online optimal antiwindup PI speed controllerWSNs minimised energy depletion [198] [302]…”

Section: Future Research Directionsmentioning

confidence: 99%

See 1 more Smart Citation

Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources

Khalfi,

Caraffini,

Iacca

2023

International Journal of Intelligent Systems

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In the last three decades, the field of computational intelligence has seen a profusion of population-based metaheuristics applied to a variety of problems, where they achieved state-of-the-art results. This remarkable growth has been fuelled and, to some extent, exacerbated by various sources of inspiration and working philosophies, which have been thoroughly reviewed in several recent survey papers. However, the present survey addresses an important gap in the literature. Here, we reflect on a systematic categorisation of what we call “lightweight” metaheuristics, i.e., optimisation algorithms characterised by purposely limited memory and computational requirements. We focus mainly on two classes of lightweight algorithms: single-solution metaheuristics and “compact” optimisation algorithms. Our analysis is mostly focused on single-objective continuous optimisation. We provide an updated and unified view of the most important achievements in the field of lightweight metaheuristics, background concepts, and most important applications. We then discuss the implications of these algorithms and the main open questions and suggest future research directions.

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Section: Other Situationsmentioning

confidence: 99%

Section: Future Research Directionsmentioning

confidence: 99%

Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources

Khalfi,

Caraffini,

Iacca

2023

International Journal of Intelligent Systems

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“…This mechanism is expected to improve the solution diversity and finally, solutions nearer to true Pareto can be found. Moreover, TTA has been used to optimize engineering design problems, production scheduling, truss design problems and cryptography applications (Rashid, 2020; Millan-Paramo et al ., 2021; Zamli et al ., 2021). The main advantages of TTA are good exploration capability and collective information from the used mechanisms.…”

Section: Introductionmentioning

confidence: 99%

A new multiobjective tiki-taka algorithm for optimization of assembly line balancing

Rashid

Ramli

2023

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PurposeThis study aims to propose a new multiobjective optimization metaheuristic based on the tiki-taka algorithm (TTA). The proposed multiobjective TTA (MOTTA) was implemented for a simple assembly line balancing type E (SALB-E), which aimed to minimize the cycle time and workstation number simultaneously.Design/methodology/approachTTA is a new metaheuristic inspired by the tiki-taka playing style in a football match. The TTA is previously designed for a single-objective optimization, but this study extends TTA into a multiobjective optimization. The MOTTA mimics the short passing and player movement in tiki-taka to control the game. The algorithm also utilizes unsuccessful ball pass and multiple key players to enhance the exploration. MOTTA was tested against popular CEC09 benchmark functions.FindingsThe computational experiments indicated that MOTTA had better results in 82% of the cases from the CEC09 benchmark functions. In addition, MOTTA successfully found 83.3% of the Pareto optimal solution in the SALB-E optimization and showed tremendous performance in the spread and distribution indicators, which were associated with the multiple key players in the algorithm.Originality/valueMOTTA exploits the information from all players to move to a new position. The algorithm makes all solution candidates have contributions to the algorithm convergence.

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“…A good literature about natural frequency analysis with the transfer matrix method was published [3,4] but drawback of this method consists of numerical difficulties when the transfer matrix manipulation involves differences of large numbers and roundoff and truncation errors by the progressive multiplication of transfer matrices [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

The influence of the truss bar on the dynamic behavior of a Warren truss by changing the modulus of elasticity

Praisach¹,

Pîrșan²

2022

Vib. proced.

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The paper presents the natural frequencies shift of a Warren truss with seven elements in the case that members of the structure are weakened by considering that the modulus of elasticity with a lower value. Taking into consideration that the slenderness ratio has a constant value and the transverse section of the truss bars is changed, the relative frequency shift for the first seven vibration mode were calculated by using the values obtained from numerical modal analysis. The conclusions reveal the fact from the dynamic behavior of the structure it can be obtained templates to identify the weakened truss bar of the structure.

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Truss Optimization with Natural Frequency Constraints Using Modified Social Engineering Optimizer

Cited by 4 publications

References 33 publications

Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources

Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources

A new multiobjective tiki-taka algorithm for optimization of assembly line balancing

The influence of the truss bar on the dynamic behavior of a Warren truss by changing the modulus of elasticity

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