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  • Open Access

    REVIEW

    A Review of the Evolution of Multi-Objective Evolutionary Algorithms

    Thomas Hanne1,*, Mohammad Jahani Moghaddam2

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4203-4236, 2025, DOI:10.32604/cmc.2025.068087 - 23 October 2025

    Abstract Multi-Objective Evolutionary Algorithms (MOEAs) have significantly advanced the domain of Multi-Objective Optimization (MOO), facilitating solutions for complex problems with multiple conflicting objectives. This review explores the historical development of MOEAs, beginning with foundational concepts in multi-objective optimization, basic types of MOEAs, and the evolution of Pareto-based selection and niching methods. Further advancements, including decom-position-based approaches and hybrid algorithms, are discussed. Applications are analyzed in established domains such as engineering and economics, as well as in emerging fields like advanced analytics and machine learning. The significance of MOEAs in addressing real-world problems is emphasized, highlighting their More >

  • Open Access

    ARTICLE

    Cotton Residue Biomass-Based Electrochemical Sensors: The Relation of Composition and Performance

    Anna Elisa Silva, Eduardo Thiago Formigari, João Pedro Mayer Camacho Araújo, Dagoberto de Oliveira Silva, Jürgen Andreaus, Eduardo Guilherme Cividini Neiva*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1899-1912, 2025, DOI:10.32604/jrm.2025.02025-0130 - 22 October 2025

    Abstract Here, we report a comprehensive study on the characterization of cotton biomass residue, its conversion into carbon-based materials via pyrolysis, and its application as an electrochemical sensor for ascorbic acid (AA). The compositions, morphologies, and structures of the resulting materials were investigated using XRD, FTIR, TGA, SEM, and EDS. Pyrolysis was carried out in an air atmosphere at different temperatures (300°C and 400°C) and durations (1, 60, and 240 min), leading to the transformation of lignocellulosic cotton residue into carbon-based materials embedded with inorganic nanoparticles, including carbonates, sulfates, chlorates, and phosphates of potassium, calcium, and… More > Graphic Abstract

    Cotton Residue Biomass-Based Electrochemical Sensors: The Relation of Composition and Performance

  • Open Access

    ARTICLE

    Shallow Water Waves with Surface Tension by Laplace–Adomian Decomposition

    Oswaldo González-Gaxiola1, Yakup Yildirim2,3,4, Luminita Moraru5,6, Anjan Biswas7,8,9,10,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2273-2287, 2025, DOI:10.32604/fdmp.2025.067959 - 30 September 2025

    Abstract This study presents a numerical investigation of shallow water wave dynamics with particular emphasis on the role of surface tension. In the absence of surface tension, shallow water waves are primarily driven by gravity and are well described by the classical Boussinesq equation, which incorporates fourth-order dispersion. Under this framework, solitary and shock waves arise through the balance of nonlinearity and gravity-induced dispersion, producing waveforms whose propagation speed, amplitude, and width depend largely on depth and initial disturbance. The resulting dynamics are comparatively smoother, with solitary waves maintaining coherent structures and shock waves displaying gradual… More > Graphic Abstract

    Shallow Water Waves with Surface Tension by Laplace–Adomian Decomposition

  • Open Access

    ARTICLE

    Species Number of Invasive Plants Negatively Regulates Carbon Contents, Enzyme Activities, and Bacterial Alpha Diversity in Soil

    Qi Chen1,2, Yizhuo Du1, Yingsheng Liu1, Yue Li1, Chuang Li1, Zhelun Xu1,3, Congyan Wang1,4,5,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2873-2891, 2025, DOI:10.32604/phyton.2025.065970 - 30 September 2025

    Abstract The leaves of multiple invasive plants can coexist and intermingle within the same environment. As species number of invasive plants increases, variations may occur in decomposition processes of invasive plants, soil nutrient contents, soil enzyme activities, and soil microbial community structure. Existing progress have predominantly focused on the ecological effects of one species of invasive plant compared to native species, with limited attention paid to the ecological effects of multiple invasive plants compared to one species of invasive plant. This study aimed to determine the differences in the effects of mono- and co-decomposition of four… More >

  • Open Access

    ARTICLE

    The Impact of Major Meteorological Factors in Tobacco Growing Areas on Key Chemical Constituents of Tobacco Leaves

    Guanhui Li1,2,#, Jiati Tang1,#, Qifang Zhang3, Guilin Ou1,3, Yingchao Lin1, Liping Chen4, Xiang Li4, Shengjiang Wu1, Zhu Ren1, Zeyu Zhao1,2, Xuekun Zhang2, Benbo Xu2,*, Xun Liu3, Kesu Wei1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2385-2398, 2025, DOI:10.32604/phyton.2025.068213 - 29 August 2025

    Abstract To clarify the relationships between the main chemical components in flue-cured tobacco in Guizhou and field meteorological factors during the tobacco growing period, the contributions of meteorological factors to the chemical composition of flue-cured tobacco and related components were explored in this study. The flue-cured tobacco variety Y87 was used as the experimental material, and tobacco samples and meteorological data were collected from seven typical tobacco-growing areas in Guizhou Province. Using a random forest model and canonical correlation analysis, the impact and contribution of the monthly mean temperature, precipitation, and sunshine duration during the field… More >

  • Open Access

    ARTICLE

    Advanced Multi-Channel Echo Separation Techniques for High-Interference Automotive Radars

    Shih-Lin Lin*

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1365-1382, 2025, DOI:10.32604/cmc.2025.067764 - 29 August 2025

    Abstract This paper proposes an integrated multi-stage framework to enhance frequency modulated continuous wave (FMCW) automotive radar performance under high noise and interference. The four-stage pipeline is applied consecutively: (i) an improved independent component analysis (ICA) blindly separates the two-channel echoes, isolating target and interference components; (ii) a recursive least-squares (RLS) filter compensates amplitude- and phase-mismatches, restoring signal fidelity; (iii) variational mode decomposition (VMD) followed by the Hilbert-Huang Transform (HHT) extracts noise-free intrinsic mode functions (IMFs) and sharpens their time-frequency signatures; and (iv) HHT-based beat-frequency estimation reconstructs a clean echo and delivers accurate range information. Finally, More >

  • Open Access

    ARTICLE

    A Systematic Comparison of Discrete Cosine Transform-Based Approaches for Multi-Focus Image Fusion

    Muhammad Osama1, Sarwar Shah Khan2,*, Sajid Khan2, Muzammil Khan3, Mian Muhammad Danyal4, Reshma Khan1

    Digital Engineering and Digital Twin, Vol.3, pp. 17-34, 2025, DOI:10.32604/dedt.2025.066344 - 19 August 2025

    Abstract Image fusion is a technique used to combine essential information from two or more source images into a single, more informative output image. The resulting fused image contains more meaningful details than any individual source image. This study focuses on multi-focus image fusion, a crucial area in image processing. Due to the limited depth of field of optical lenses, it is often challenging to capture an image where all areas are in focus simultaneously. As a result, multi-focus image fusion plays a key role in integrating and extracting the necessary details from different focal regions.… More >

  • Open Access

    ARTICLE

    Machine Learning and Explainable AI-Guided Design and Optimization of High-Entropy Alloys as Binder Phases for WC-Based Cemented Carbides

    Jianping Li, Wan Xiong, Tenghang Zhang, Hao Cheng, Kun Shen, Miaojin He, Yu Zhang, Junxin Song, Ying Deng*, Qiaowang Chen*

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2189-2216, 2025, DOI:10.32604/cmc.2025.066128 - 03 July 2025

    Abstract Tungsten carbide-based (WC-based) cemented carbides are widely recognized as high-performance tool materials. Traditionally, single metals such as cobalt (Co) or nickel (Ni) serve as the binder phase, providing toughness and structural integrity. Replacing this phase with high-entropy alloys (HEAs) offers a promising approach to enhancing mechanical properties and addressing sustainability challenges. However, the complex multi-element composition of HEAs complicates conventional experimental design, making it difficult to explore the vast compositional space efficiently. Traditional trial-and-error methods are time-consuming, resource-intensive, and often ineffective in identifying optimal compositions. In contrast, artificial intelligence (AI)-driven approaches enable rapid screening and… More >

  • Open Access

    ARTICLE

    Addressing Class Overlap in Sonic Hedgehog Medulloblastoma Molecular Subtypes Classification Using Under-Sampling and SVD-Enhanced Multinomial Regression

    Isra Mohammed1, Mohamed Elhafiz M. Musa2, Murtada K. Elbashir3,*, Ayman Mohamed Mostafa3, Amin Ibrahim Adam4, Mahmood A. Mahmood3, Areeg S. Faggad5

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3749-3763, 2025, DOI:10.32604/cmc.2025.063880 - 03 July 2025

    Abstract Sonic Hedgehog Medulloblastoma (SHH-MB) is one of the four primary molecular subgroups of Medulloblastoma. It is estimated to be responsible for nearly one-third of all MB cases. Using transcriptomic and DNA methylation profiling techniques, new developments in this field determined four molecular subtypes for SHH-MB. SHH-MB subtypes show distinct DNA methylation patterns that allow their discrimination from overlapping subtypes and predict clinical outcomes. Class overlapping occurs when two or more classes share common features, making it difficult to distinguish them as separate. Using the DNA methylation dataset, a novel classification technique is presented to address… More >

  • Open Access

    REVIEW

    Advances in Crack Formation Mechanisms, Evaluation Models, and Compositional Strategies for Additively Manufactured Nickel-Based Superalloys

    Huabo Wu1,2, Jialiao Zhou3, Lan Huang1,2,*, Zi Wang1,2,*, Liming Tan1,2, Jin Lv4, Feng Liu1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2675-2709, 2025, DOI:10.32604/cmes.2025.064854 - 30 June 2025

    Abstract Nickel-based superalloys are indispensable for high-temperature engineering applications, yet their additive manufacturing (AM) is plagued by significant cracking defects. This review investigates crack failure mechanisms in AM nickel-based superalloys, emphasizing methodologies to evaluate crack sensitivity and compositional design strategies to mitigate defects. Key crack types—solidification, liquation, solid-state, stress corrosion, fatigue, and creep-fatigue cracks—are analyzed, with focus on formation mechanisms driven by thermal gradients, solute segregation, and microstructural heterogeneities. Evaluation frameworks such as the Rappaz-Drezet-Gremaud (RDG) criterion, Solidification Cracking Index (SCI), and Strain Age Cracking (SAC) index are reviewed for predicting crack susceptibility through integration of… More >

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