An enhanced quantum-inspired gravitational search algorithm for color prediction based on the absorption spectrum

Gao, Zehai; Zhang, Yan; Zhou, Shisheng; Lyu, Weitao

doi:10.1177/0040517520977007

Cited by 3 publications

(1 citation statement)

References 35 publications

(38 reference statements)

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“…BAS is a global optimization method inspired by the foraging behavior of longhorn beetles. Different from the classic particle swarm optimization (PSO) (Liang et al 2021 ) and gravitational search algorithm (GSA) (Gao et al 2021a ), BAS algorithm can converge to the global optimization solution by only using one particle, which makes BAS simple and fast as well as easy to implement (Li et al 2020 ). The basic BAS defines the position of the beetle as a vector at the epoch t .…”

Section: The Proposed Wqi and Wqimin Modelmentioning

confidence: 99%

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Gao

Liu

Li³

et al. 2022

Water Resour Manage

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Urban river not only has the important function in urban hydrological environment, but also is an area for entertainment. Water quality assessment is the core technique in water resource management. As the typical urban river, water samples were collected at 5 sampling points in Xi’an moat from January 2018 to December 2020, and 10 physicochemical parameters were analyzed. In this paper, a comprehensive water quality index (WQI) is designed based on the criterion of water quality classes and entropy weight method firstly. Secondly, the crucial water quality parameters is determined by using mutual information, coefficient of variation and the water quality difference. Finally, an enhanced beetle antennae search algorithm is proposed to optimize the weight values of the crucial parameters in the range 0 to 1, which represent the ratio of the crucial parameter in the minimum WQI (WQImin) model. The WQImin models with different number of crucial water quality parameters are implemented for water quality assessment. The effectiveness and superiority of the proposed enhanced beetle antennae search algorithm are validated in comparison with other evolutionary algorithms. The results show that the proposed WQImin model can assess the water quality accurately.

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Section: The Proposed Wqi and Wqimin Modelmentioning

confidence: 99%

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Gao

Liu

Li³

et al. 2022

Water Resour Manage

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Prediction model for laser marking colors based on color mixing

Xue,

Wan,

Wang

et al. 2024

Opt. Express

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The current techniques for coloring surfaces using lasers necessitate the identification of numerous laser marking parameters, which is a laborious process. Furthermore, the quantitative analysis of generating a wide variety of colors through fewer sets of laser marking parameters is a huge challenge. This work employs a nanosecond laser to generate mixed structural colors from micro-nano structures on the surface of stainless steel in order to address these issues. Additionally, the color mixing principle is investigated in relation to these micro-nano structures. On this basis, the spectral reflectance of the primary color is mapped to the linear mixed color space, and the linear mixed color space is constructed by minimizing the linear deviation function. In this space, a precise mathematical model for color prediction is developed, which effectively captures the correlation between the primary color and the resulting mixed color. Four primary colors are created using four sets of laser marking parameters. Mixing these primary colors in varying proportions can achieve more than 100 new tones with rich colors. The average color difference ΔE a b ∗ and ΔE00∗ are 1.98 and 1.80, respectively. By utilizing this model to adjust the proportion of primary colors in each subgraph, an image with vibrant and rich colors is generated, thereby achieving the implementation of a structural color image based on mixed colors.

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A Quantum-Inspired Sperm Motility Algorithm

Hezam

Abdul-Raof

Foul

et al. 2022

MATH

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<abstract> <p>Sperm Motility Algorithm (SMA), inspired by the human fertilization process, was proposed by Abdul-Raof and Hezam <sup>[<xref ref-type="bibr" rid="b1">1</xref>]</sup> to solve global optimization problems. Sperm flow obeys the Stokes equation or the Schrۤinger equation as its derived equivalent. This paper combines a classical SMA with quantum computation features to propose two novel Quantum-Inspired Evolutionary Algorithms: The first is called the Quantum Sperm Motility Algorithm (QSMA), and the second is called the Improved Quantum Sperm Motility Algorithm (IQSMA). The IQSMA is based on the characteristics of QSMA and uses an interpolation operator to generate a new solution vector in the search space. The two proposed algorithms are global convergence guaranteed population-based optimization algorithms, which outperform the original SMA in terms of their search-ability and have fewer parameters to control. The two proposed algorithms are tested using thirty-three standard dissimilarities benchmark functions. Performance and optimization results of the QSMA and IQSMA are compared with corresponding results obtained using the original SMA and those obtained from three state-of-the-art metaheuristics algorithms. The algorithms were tested on a series of numerical optimization problems. The results indicate that the two proposed algorithms significantly outperform the other presented algorithms.</p> </abstract>

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An enhanced quantum-inspired gravitational search algorithm for color prediction based on the absorption spectrum

Cited by 3 publications

References 35 publications

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Prediction model for laser marking colors based on color mixing

A Quantum-Inspired Sperm Motility Algorithm

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