Focusing through disturbed multimode optical fiber based on self-adaptive genetic algorithm

Yu, Hao; Yao, Zheyi; Sui, Xiubao; Gu, Guohua; Chen, Qian

doi:10.1016/j.ijleo.2022.169129

Cited by 15 publications

(5 citation statements)

References 33 publications

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“…GAs is a well‐known global solver used in the current research for optimization of MHD Prandtl–Eyring fluid flow problem through the most appropriate selection of generation, mutation, crossover, population and elitism. The applications [59, 67–69] of GAs proves its effectiveness.…”

Section: Problem Methodologymentioning

confidence: 99%

Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating

Butt,

Ahmad,

Shoaib

et al. 2024

Z Angew Math Mech

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In this communication, a new stochastic numerical paradigm is introduced for thorough scrutinization of the magnetohydrodynamic (MHD) boundary layer flow of Prandtl–Eyring fluidic model along a stretched sheet impact on thermal radiation as well as convective heating scenarios by exploiting the accurate approximation knacks of ANNs (artificial‐neural‐networks) modeling by using the inverse multiquadric (IMQ) function optimized/trained with well‐reputed global search with genetic algorithms (GAs) and local search efficacy of sequential quadratic programming (SQP), that is, ANNs‐IMQ‐GA‐SQP. The mathematical model of the Prandtl–Eyring fluid flow is portrayed in the form of PDEs and then converted in the form of a nonlinear system of ODEs by utilizing suitable similarity transformation to calculate/analyze the solution dynamics. The kinematic and thermodynamic properties of MHD Prandtl–Eyring fluid flow are examined/observed by varying the sundry physical parameters. The obtained intelligent computing designed solver‐based numerical results are consistently found in good agreement with reference results obtained through the Adams numerical technique. First and second‐order cumulant‐based statistical assessments are extensively exploited to endorse trustily the efficacy of ANNs‐IMQ‐GA‐SQP solver based on exhaustive simulations for the Prandtl–Eyring fluidic system.

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Section: Problem Methodologymentioning

confidence: 99%

Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating

Butt,

Ahmad,

Shoaib

et al. 2024

Z Angew Math Mech

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“…The phase of each subregion is optimized through iterative algorithms with the focusing intensity or contrast at the desired position as the metric of performance. Research in this direction is focused on updating iterative optimization algorithms, such as the Monte-Carlo algorithm 26 , adaptive sequential coordinate ascent algorithm 73 , stochastic parallel gradient descent algorithm 74 , self-adaptive genetic algorithm 75 , and natural evolution strategy 76 to simultaneously reduce the time of calibration and acquire more effective masks for the generation of high contrast focal spots. These algorithms can be divided into two categories.…”

Section: Phase Optimization Methodsmentioning

confidence: 99%

Optical scanning endoscope via a single multimode optical fiber

Wu,

Zhu,

et al. 2024

OES

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Optical endoscopy has become an essential diagnostic and therapeutic approach in modern biomedicine for directly observing organs and tissues deep inside the human body, enabling non-invasive, rapid diagnosis and treatment. Optical fiber endoscopy is highly competitive among various endoscopic imaging techniques due to its high flexibility, compact structure, excellent resolution, and resistance to electromagnetic interference. Over the past decade, endoscopes based on a single multimode optical fiber (MMF) have attracted widespread research interest due to their potential to significantly reduce the footprint of optical fiber endoscopes and enhance imaging capabilities. In comparison with other imaging principles of MMF endoscopes, the scanning imaging method based on the wavefront shaping technique is highly developed and provides benefits including excellent imaging contrast, broad applicability to complex imaging scenarios, and good compatibility with various well-established scanning imaging modalities. In this review, various technical routes to achieve light focusing through MMF and procedures to conduct the scanning imaging of MMF endoscopes are introduced. The advancements in imaging performance enhancements, integrations of various imaging modalities with MMF scanning endoscopes, and applications are summarized. Challenges specific to this endoscopic imaging technology are analyzed, and potential remedies and avenues for future developments are discussed.

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“…Wave propagation optimization in optics. Spatial light modulators [11][12][13][14][15][16][17] and digital micromirror devices [5,18] opened a broad field of wavefront shaping of light for the purpose of focusing in scattering media. Due to their efficiency and broad field of possible applications, the domain of optics is pioneering the research of optimization algorithms for wave propagation control.…”

Section: State Of the Art: Optimization Algorithms For Wave Controlmentioning

confidence: 99%

“…Genetic algorithms [5,[15][16][17][18] are more efficient in this situation, where a single iteration represents the measurements on the whole population of solutions at one generation. Surely, certain individual solutions can randomly be overrated.…”

Section: State Of the Art: Optimization Algorithms For Wave Controlmentioning

confidence: 99%

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Rus

Fleury

2023

Smart Mater. Struct.

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We introduce a reconfigurable medium for the manipulation of elastic propagation properties of Lamb waves. It is based on a shape memory polymer with temperature-dependent Young’s modulus. Waves are excited by a laser pulse and detected by a laser vibrometer. A two-dimensional temperature field is controlled by a scanning heating laser. We use genetic algorithms to determine optimal distributions of mechanical properties for the following criteria: the wave amplitude has to be maximized at a given location and at the same time minimized at one or two other locations. Due to the reconfigurability of the medium, the optimization process is performed directly on the object of optimization, and not on a numerical or analytical representative, based on a direct measurement of the fitness. The optimized configuration makes the waves propagate away from (or around) the point of minimization towards the point of maximization. We improve the genetic algorithm by adapting the mutation probability of individual genes according to specific criteria, which depend on the surrounding genes (distributed in two dimensions). This provides the advantages: concentrating the mutations in the areas of genetic inconsistencies and counterbalancing the error of the fitness measurement. The method is applicable for the intelligent design of wave energy harvesters, ultrasonic transducers, and analogue wave computing devices.

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Focusing through disturbed multimode optical fiber based on self-adaptive genetic algorithm

Cited by 15 publications

References 33 publications

Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating

Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating

Optical scanning endoscope via a single multimode optical fiber

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

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