Differential evolution with an ensemble of low-quality surrogates for expensive optimization problems

Mohanarangam, Krithikaa; Mallipeddi, Rammohan

doi:10.1109/cec.2016.7743781

Cited by 10 publications

(5 citation statements)

References 25 publications

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“…Touch sensor applications have a low power consumption and a lighter weight as traditional interface devices like a standby keyboard for typing. [8,122,123] The touch sensor technologies can be fundamentally divided into four main technologies: Resistive, capacitive, surface acoustic wave, and optical touch screen. [122] Especially the latter one plays a major role in optoelectronic applications.…”

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

“…[8,122,123] The touch sensor technologies can be fundamentally divided into four main technologies: Resistive, capacitive, surface acoustic wave, and optical touch screen. [122] Especially the latter one plays a major role in optoelectronic applications. These are using IR LED's and matching photo detectors.…”

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

“…Through human touch, the EM wave is broken and a controller calculates the position of the contact. [122,123] The main advantages are a high optical clarity, durable surface properties, multitouch possibilities, and the device can be scaled up to large sizes. However, such devices are more expensive and the cameras might shift out of alignment.…”

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

“…However, such devices are more expensive and the cameras might shift out of alignment. [122] For high definition displays, the optical transparency has to be very high and the haze value has to be less than 1%. Zhu et al described an approach to generate a highly transparent and clear paper with a transmittance of 90% in the range between 400 and 1100 nm with a haze of 0.5% at 550 nm.…”

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

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Cellulose for Light Manipulation: Methods, Applications, and Prospects

Reimer

Zollfrank

2021

Advanced Energy Materials

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The colors of plants and animals can be achieved by different interactions of light with matter. [10][11][12][13][14][15][16][17] Animals or plants use the biological system colors as warning, for camouflage, or for signaling. Coloration can be generated by the selective absorption of light from the visible range of the spectrum by using pigments (pigmentary colors), which are absorbing subsets of the visible spectrum and transmitting and reflecting the other parts of the visible light. Therefore, the tissue occurs in the color of the wavelength of the reflected radiation. This is used for example by flowers of plants as a signal, because they have to stand out against the background of the vegetation in order to attract pollinating insects. Therefore, they appear in bright colors by reflecting certain wavelengths of visible light, which are then perceivable for the pollinating insects as well as for humans. [10][11][12][13] However, light-matter interaction with respect to absorption is of general importance, but will not be further discussed in this review. On the other hand, coloration can be created by coherent or incoherent scattering of light on highly structured and unstructured tissues (structural colors) in the range of the wavelength of incident light. Here, different wavelengths of light are selectively reflected from a structure and the remaining wavelengths can then be transmitted or absorbed. [10][11][12][13][14][15] These biological photonic sub-micrometer structures yield a distinct coloration through the creation of a refractive index contrast between the used materials. This is an interesting fact, because natural systems cannot be built on high-refractive index inorganic materials, which are commonly used in contemporary technology. Instead, nature makes use of biopolymers such as keratin, chitin, collagen, and cellulose. However, all of these biopolymers exhibit a refractive index around ≈1.5. In order to be able to create bright structural colors, a high refractive index contrast is required. Therefore, nature is using air voids to create the necessary refractive index contrast (Δn ≈ 0.5). Alternatively, nature can also use melanin with a refractive index of about 2 and keratin in mixed composites or by using anhydrous guanine with a refractive index of 1.83, whose crystal arrangements are responsible for the metallic luster of many fish. [15,16] Pigmentary color as well as structural color can also occur in combination (combined colors). All of these aspects can also be separated in iridescent or noniridescent colors. [10,15] Birds, like the Panama Amazon parrot (Amazona ochrocephala panamensis) or the kingfisher (Alcedo atthis) are using different combinations of pigments and sub-micrometer structured components.Cellulose is one of the most abundant biopolymers on earth. It is a sustainable and renewable raw material with many beneficial properties. Due to its availability, nontoxicity, environmental friendliness, biocompatibility, and biodegradability, cellulose is one of the world's most ...

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Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

Section: Cellulose For Flexible Touchscreen Panelsmentioning

confidence: 99%

See 2 more Smart Citations

Cellulose for Light Manipulation: Methods, Applications, and Prospects

Reimer

Zollfrank

2021

Advanced Energy Materials

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“…Sun et al used RBF to sort the candidate offspring particles and then screen some potential offspring particles with small response values in the RBF-assisted social learning particle swarm optimization (SLPSO) [35]. Li et al proposed a prescreening criterion based on the prediction difference of multiple surrogates [11]. Surrogate-assisted local search is also widely used in SAEAs, which searches promising sample points in the local area based on predicted fitness value by surrogate.…”

Section: Introductionmentioning

confidence: 99%

Data-driven evolutionary sampling optimization forexpensive problems

Zhen

Gong

2021

J. of Syst. Eng. Electron.

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Surrogate models have shown to be effective in assisting evolutionary algorithms (EAs) for solving computationally expensive complex optimization problems. However, the effectiveness of the existing surrogate-assisted evolutionary algorithms still needs to be improved. A data-driven evolutionary sampling optimization (DESO) framework is proposed, where at each generation it randomly employs one of two evolutionary sampling strategies, surrogate screening and surrogate local search based on historical data, to effectively balance global and local search. In DESO, the radial basis function (RBF) is used as the surrogate model in the sampling strategy, and different degrees of the evolutionary process are used to sample candidate points. The sampled points by sampling strategies are evaluated, and then added into the database for the updating surrogate model and population in the next sampling. To get the insight of DESO, extensive experiments and analysis of DESO have been performed. The proposed algorithm presents superior computational efficiency and robustness compared with five state-of-the-art algorithms on benchmark problems from 20 to 200 dimensions. Besides, DESO is applied to an airfoil design problem to show its effectiveness.

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