Soft Computing Fusion with Applications
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.
Aims & scope
SCFA is an international, peer-reviewed journal dedicated to advancing innovation in soft computing and its integration with various scientific and industrial domains. The journal publishes high-quality papers that explore synergies between soft computing techniques—such as evolutionary algorithms, machine learning, and fuzzy sets—and their practical applications in areas like engineering design, data science, and intelligent systems. SCFA aims to connect theoretical frameworks with real-world challenges, pushing the boundaries of soft computing technologies.
Editor-in-Chief
Seyyed Ahmad Edalatpanah
Ayandegan Institute of Higher Education, Iran.
Editorial Contact
ISSN
3042-0180