Particle swarm approach to the optimisation of trenched cantilever‐based MEMS piezoelectric energy harvesters

Kordrostami, Zoheir; Roohizadegan, Sajjad

doi:10.1049/iet-smt.2018.5371

Cited by 19 publications

(5 citation statements)

References 38 publications

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“…It should be noted that the numerical simulation process used in this paper has been validated in our previous works on MEMS sensors and energy harvesters [32][33][34][35]. We have previously shown that our results for MEMS hydrophones are in a very close agreement with an experimentally fabricated hydrophone [36].…”

Section: Mems Diaphragm Hydrophonesupporting

confidence: 71%

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Design and simulation of a flat cap mushroom shape microelectromechanical systems piezoelectric transducer with the application as hydrophone

Amiri

Kordrostami

Ghoddus

2020

IET Science, Measurement & Technology

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Section: Mems Diaphragm Hydrophonesupporting

confidence: 71%

“…This has been proved previously for MEMS cantilever beams. That is when the piezoelectric layer has not covered the cantilever totally and has covered a small part of the beam near the fixed end, and the produced voltage is the largest [34].…”

Section: Input Acoustic Pressurementioning

confidence: 99%

Design and simulation of a flat cap mushroom shape microelectromechanical systems piezoelectric transducer with the application as hydrophone

Amiri

Kordrostami

Ghoddus

2020

IET Science, Measurement & Technology

Self Cite

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“…PSO is a powerful optimization method. As with fish and bird flocks, the cooperative conduct of insect colonies is inspired by this technique [59]. After all, it is interesting how these animals pass in one direction, often breaking into 2 groups to escape a predator and reforming the initial group [52].…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

A New Method for Solving the Flow Shop Scheduling Problem on Symmetric Networks Using a Hybrid Nature-Inspired Algorithm

Baroud,

Eghtesad,

Ahmed Mahdi

et al. 2023

Symmetry

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Recently, symmetric networks have received much attention in various applications. They are a single route for incoming and outgoing network traffic. In symmetric networks, one of the fundamental categories of wide-ranging scheduling problems with several practical applications is the FSSP. Strictly speaking, a scheduling issue is found when assigning resources to the activities to maximize goals. The difficulty of finding solutions in polynomial time makes the flow shop scheduling problem (FSSP) NP-hard. Hence, the utilization of a hybrid optimization technique, a new approach to the flow shop scheduling issue, on symmetric networks is given in the current research. In order to address this issue, each party’s strengths are maximized and their weaknesses reduced, and this study integrates the Ant Colony Algorithm with Particle Swarm Optimization (ACO-PSO). Even though these methods have been employed before, their hybrid approach improves their resilience in a variety of sectors. The ACO-PSO is put to the test by contrasting it with innovative algorithms in the literature. The search space is first filled with a variety of solutions by the algorithm. Using pheromones in the mutual region, the ACO algorithm locally controls mobility. Moreover, the PSO-based random interaction among the solutions yields the global maximum. The PSO’s random interaction among the solutions typically results in the global maximum. The computational research demonstrates that the recommended ACO-PSO method outperforms the existing ones by a large margin. The Friedman test also shows that the average algorithm ranks for ACO and PSO are 1.79 and 2.08, respectively. The proposed method has an average rank of 2.13 as well. It indicates that the suggested algorithm’s effectiveness increased.

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“…Different types of pressure sensors exist based on various physical properties, such as piezoresistive, piezoelectric, capacitive, magnetic, and electrostatic. Due to their electromechanical coupling and their ability to be micromachined, piezoelectric thin films assist in developing nanoscale and microscale devices [13,14]. The thin films of piezoelectric materials, Barium titanate (BaTiO 3 ), Zinc Oxide (ZnO), and Lead zirconate titanate (PZT), are used in MEMS/NEMS systems as actuators, sensors, surface acoustic wave (SAW) filters, and bulk acoustic wave (BAW) resonators [15,16].…”

Section: Introductionmentioning

confidence: 99%

Combining COMSOL Modeling with Different Piezoelectric Materials to Design MEMS Cantilevers for Marine Sensing Robotics

2023

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Particle swarm approach to the optimisation of trenched cantilever‐based MEMS piezoelectric energy harvesters

Cited by 19 publications

References 38 publications

Design and simulation of a flat cap mushroom shape microelectromechanical systems piezoelectric transducer with the application as hydrophone

Design and simulation of a flat cap mushroom shape microelectromechanical systems piezoelectric transducer with the application as hydrophone

A New Method for Solving the Flow Shop Scheduling Problem on Symmetric Networks Using a Hybrid Nature-Inspired Algorithm

Combining COMSOL Modeling with Different Piezoelectric Materials to Design MEMS Cantilevers for Marine Sensing Robotics

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