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Computation, Volume 13, Issue 7

July 2025 - 24 articles

Cover Story: This paper presents a novel topology optimization method combining a parameterized level set function with genetic algorithms. Using B-spline interpolation reduces variables, enabling global search and avoiding local minima—a common issue with traditional gradient methods. Implemented in MATLAB, the approach employs a penalty operator to improve convergence speed. It not only effectively finds the global optimum but can also generate good initial solutions for faster local methods. Tested on 2D structures, this robust technique offers a promising alternative for complex topology design. View this paper
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Articles (24)

  • Article
  • Open Access
617 Views
20 Pages

Electrical restitution (ER) is a determinant of cardiac repolarization stability and can be measured as steady action potential (AP) duration (APD) at different pacing rates—the so-called dynamic restitution (ERdyn) curve—or as APD change...

  • Article
  • Open Access
1,350 Views
28 Pages

The United States leads in corn production and consumption in the world with an estimated USD 50 billion per year. There is a pressing need for the development of novel and efficient techniques aimed at enhancing the identification and eradication of...

  • Review
  • Open Access
3,606 Views
22 Pages

Small- and medium-sized enterprises (SMEs) face dynamic and competitive environments where resilience and data-driven decision-making are critical. Despite the potential benefits of artificial intelligence (AI), machine learning (ML), and optimizatio...

  • Article
  • Open Access
1,491 Views
33 Pages

Modern financial practices introduce complex risks, which in turn force financial institutions to rely increasingly on computational risk analytics (CRA). The purpose of our research is to attempt to systematically explore the evolution and intellect...

  • Article
  • Open Access
952 Views
24 Pages

Construction and Evaluation of a Domain-Related Risk Model for Prognosis Prediction in Colorectal Cancer

  • Xiangjun Cui,
  • Yongqiang Xing,
  • Guoqing Liu,
  • Hongyu Zhao and
  • Zhenhua Yang

Background: Epigenomic instability accelerates mutations in tumor suppressor genes and oncogenes, contributing to malignant transformation. Histone modifications, particularly methylation and acetylation, significantly influence tumor biology, with c...

  • Article
  • Open Access
748 Views
23 Pages

First-Principles Insights into Mo and Chalcogen Dopant Positions in Anatase, TiO2

  • W. A. Chapa Pamodani Wanniarachchi,
  • Ponniah Vajeeston,
  • Talal Rahman and
  • Dhayalan Velauthapillai

This study employs density functional theory (DFT) to investigate the electronic and optical properties of molybdenum (Mo) and chalcogen (S, Se, Te) co-doped anatase TiO2. Two co-doping configurations were examined: Model 1, where the dopants are adj...

  • Review
  • Open Access
2,532 Views
23 Pages

Machine learning (ML) is transforming computational chemistry by accelerating molecular simulations, property prediction, and inverse design. Central to this transformation is mathematical optimization, which underpins nearly every stage of model dev...

  • Article
  • Open Access
1 Citations
1,435 Views
17 Pages

In this study, a multi-objective optimization procedure with embedded topology optimization was presented. The procedure simultaneously optimizes the spatial arrangement and topology of bodies in a multi-body system. The multi-objective algorithm det...

  • Article
  • Open Access
1 Citations
1,205 Views
18 Pages

Most solutions of fractional differential equations (FDEs) that model real-world phenomena in various fields of science, industry, and engineering are complex and cannot be solved analytically. This paper mainly aims to present some useful results fo...

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Computation - ISSN 2079-3197