About the Journal

About the Journal

Soft Computing Fusion with Applications (SCFA) is a premier international peer-reviewed journal committed to propelling innovation and excellence in the realm of soft computing and its fusion with other scientific and industrial domains.  SCFA is a nexus for academics, industry professionals, and researchers worldwide to share high-quality scientific papers that explore the synergies between various soft computing techniques and their practical applications. SCFA encompasses a wide range of topics, including but not limited to evolutionary algorithms, machine learning, fuzzy sets, and their extensions, as well as their applications in areas like engineering design, data science, and intelligent systems. By connecting theoretical frameworks with real-world challenges, SCFA aims to push the boundaries of what soft computing technologies can achieve.

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Vol. 3 No. 4 (2026): Soft Computing Fusion with Applications
Published: 2026-11-07

Articles

  • Computational Intelligence for Crop Improvement: A Critical Taxonomic Survey of Metaheuristic Optimization

    Ana Lucia Montenegro-Ramírez, Devang Suri, Helena Voss, Tobias Brandt
    236-251
    https://doi.org/10.22105/scfa.v3i4.113

  • Adversarial-Aware Population Search for Cybersecurity Decision Tuning with a Finite Attack Surrogate

    David R. Harrison, Aisha B. Saleh, Vikram Iyengar, Lea Hoffmann
    251-265
    https://doi.org/10.22105/scfa.v3i4.114

  • Q Learning Fixed Time and Actuated Signal Control under Simulated Demand Shifts

    Zhang Hao, Zongke Bao, Lulu Cai
    266-280
    https://doi.org/10.22105/scfa.v3i4.115

  • Replay-Based Continual Learning on Sequential Digit Tasks: Buffer Size, Task Similarity, and the Effect of Interleaving

    Anna L. Marchetti, Jan H. Novak, Hiroshi Tanabe
    280-294
    https://doi.org/10.22105/scfa.v3i4.116

  • Metaheuristic Methods for Chemical Reactor Design and Process Optimization A Methodological Perspective

    Trayambak Rai, Kuan Mo
    295-303
    https://doi.org/10.22105/scfa.v3i4.117

  • Optimization of Ecological Systems and Population Dynamics Using Metaheuristic Algorithms: A Review

    Natalja Osintsev, Akeem Babatunde Animasaun
    304-312
    https://doi.org/10.22105/scfa.v3i4.118
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Machine Learning and AI for Predictive Maintenance and Grid Integration of Wind Farms

Chukwuemeka Joshua Okafor, Adedayo Ayomide Adeniran, Adetayo Olaniyi Adeniran
https://doi.org/10.22105/scfa.v2i2.53
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Reaching The Pinnacle of the Digital WorldOpen Mathematical Problems in AI-Driven Robot Control

Ismail A Mageed, Hong Li
https://doi.org/10.22105/scfa.v2i2.54
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IoT-Driven Street Lighting Optimization Using AI in Urban Areas

Mannat Bhardwaj
https://doi.org/10.22105/scfa.v1i2.36
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Income Prediction Using Machine Learning

Vaishnavi Kumar
https://doi.org/10.22105/scfa.v1i3.46
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Applications of Deep Learning to Cryptocurrency Trading: A Systematic Analysis

Saeid Ataei, Seyyed Taghi Ataei, Parisa Omidmand, Hoora Hajian Karahroodi, Pegah Nikzat
https://doi.org/10.22105/scfa.vi.77
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