An efficient archive-based parameter-free multi-objective Rao-DE algorithm for bi-objective optimization of truss structures

Computers & Structures, Год журнала: 2025, Номер 308, С. 107647 - 107647

Опубликована: Янв. 8, 2025

Язык: Английский

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Space deployable mechanics: A review of structures and smart driving

Materials & Design, Год журнала: 2023, Номер 237, С. 112557 - 112557

Опубликована: Дек. 13, 2023

Space deployable structures are able to be deployed from a folded state predetermined or desired configuration. They superior in terms of spatial packaging ratio, controllability, and structural complexity, order solve the space limitations for aerospace vehicles. Therefore, they have been applied designs concepts various missions, including support booms, antennas, solar panels, as well flexible sails. Recent development advanced manufacturing technologies applications novel smart materials structures, brings new degree design freedom mechanics, inspiring mechanisms, especially driving control strategies. Here, we present review on mechanics structures. Advantages mechanisms also presented reveal further insights. The trends future directed by advancements modularisation, intelligences, deployment precision. Multi-disciplinary cross-integrations leading way breakthroughs intelligent explorations.

Язык: Английский

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An efficient k-NN-based rao optimization method for optimal discrete sizing of truss structures

Applied Soft Computing, Год журнала: 2024, Номер 154, С. 111373 - 111373

Опубликована: Фев. 9, 2024

Язык: Английский

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Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm

Results in Engineering, Год журнала: 2024, Номер 21, С. 101859 - 101859

Опубликована: Фев. 5, 2024

Optimising the shape and size of large-scale truss frames is challenging because there a nonlinear interaction between cross-sectional nodal coordinate forces structures. Meanwhile, combining bar variables creates multi-modal search space with dynamic constraints, making an expensive optimisation engineering problem. Besides, most real problems are large-scale, algorithms faced issue scalability by increasing This paper proposed novel Cooperative Coevolutionary marine predators algorithm combined greedy (CCMPA-GS) for on sizing. The used divide-and-conquer technique to optimise separately. Therefore, in each iteration, CCMPA-GS focuses initially then switches bars tries find best cooperative combination solutions current population using context vector (CV). A embedded following fix remaining violations from structure's stress displacement. alternative strategy compared 13 established genetic, evolutionary, swarm, memetic meta-heuristic algorithms. comparison based optimising two structures consisting 260-bar 314-bar configurations. Experimental results demonstrate that method consistently outperforms other methods, delivering optimal designs superior 52 % 63.4 %, respectively. signifies substantial enhancement performance, highlighting potential as powerful field structural optimisation.

Язык: Английский

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A robust machine learning-based framework for handling time-consuming constraints for bi-objective optimization of nonlinear steel structures

Structures, Год журнала: 2024, Номер 62, С. 106226 - 106226

Опубликована: Март 19, 2024

Язык: Английский

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A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems

Expert Systems with Applications, Год журнала: 2024, Номер 256, С. 124929 - 124929

Опубликована: Июль 30, 2024

Язык: Английский

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An efficient method for nonlinear inelastic truss optimization based on improved k-nearest neighbor comparison and Rao algorithm

Structures, Год журнала: 2025, Номер 71, С. 108158 - 108158

Опубликована: Янв. 1, 2025

Язык: Английский

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Bonobo optimizer algorithm for optimum design of truss structures with static constraints

Structures, Год журнала: 2023, Номер 50, С. 400 - 417

Опубликована: Фев. 16, 2023

Язык: Английский

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Swarm intelligence empowered three-stage ensemble deep learning for arm volume measurement in patients with lymphedema

Biomedical Signal Processing and Control, Год журнала: 2023, Номер 85, С. 105027 - 105027

Опубликована: Май 17, 2023

Язык: Английский

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IBMSMA: An Indicator-based Multi-swarm Slime Mould Algorithm for Multi-objective Truss Optimization Problems

Journal of Bionic Engineering, Год журнала: 2022, Номер 20(3), С. 1333 - 1360

Опубликована: Дек. 1, 2022

Язык: Английский

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