Aims and scope

Transactions on Soft Computing (TSC) is a premier international journal that aims to advance the theory, development, and application of soft computing techniques to address complex and dynamic real-world challenges. The journal serves as a vibrant forum for interdisciplinary collaboration and innovation, focusing on the seamless integration of soft computing methodologies across diverse fields.

TSC seeks to publish high-quality, original research and reviews that contribute to the evolution of soft computing methods and their applications. The scope of the journal encompasses, but is not limited to, the following:

Methodologies

  1. Fuzzy Systems and Fuzzy Logic: Exploring theory, modeling, and applications of fuzzy set-based approaches for handling uncertainty and vagueness in decision-making.
  2. Neural Networks: Advancing artificial neural network models, architectures, and their applications in intelligent systems.
  3. Evolutionary and Bio-Inspired Computation: Investigating genetic algorithms, evolutionary strategies, particle swarm optimization, and ant colony optimization for solving optimization problems.
  4. Chaos Theory and Chaotic Systems: Application of chaos-based methods for modeling and analysis in various scientific fields.
  5. Swarm Intelligence: Harnessing collective intelligence techniques for solving computational and real-world problems.
  6. Hybrid Methods: Innovative combinations of soft computing techniques to enhance performance and adaptability.
  7. Rough Sets and Granular Computing: Addressing data uncertainty and imprecision in complex decision-making systems.
  8. Learning and Adaptation Techniques: Focusing on machine learning, reinforcement learning, and adaptive algorithms for dynamic environments.

Applications

  1. Engineering and Manufacturing: Optimization, control, and automation solutions in industrial processes and systems.
  2. Bio-Medicine and Healthcare: Soft computing applications in medical diagnosis, treatment planning, bioinformatics, and healthcare management.
  3. Big Data and Analytics: Employing soft computing tools for data mining, pattern recognition, and predictive modeling in large-scale data sets.
  4. Artificial Intelligence and Robotics: Enhancing intelligent agent design, autonomous systems, and human-computer interaction.
  5. Supply Chain and Logistics: Applications in optimization, resource allocation, and decision support for logistics and supply chain networks.
  6. Image and Video Processing: Advancing techniques for computer vision, image recognition, and video analysis.
  7. Sustainability and Environment: Utilizing soft computing for renewable energy systems, environmental modeling, and sustainable development solutions.
  8. Intelligent Systems: Smart city applications, IoT, and edge computing solutions for modern infrastructure.
  9. Education and Social Sciences: Exploring the role of soft computing in educational technologies, human behavior analysis, and social system modeling.

Interdisciplinary Contributions

The journal actively encourages submissions that transcend traditional boundaries, promoting synergy between soft computing and disciplines like mathematics, computer science, operations research, biology, social sciences, and economics. It aims to catalyze innovative research and foster advancements in hybrid models, uncertainty modeling, and real-world problem-solving.

TSC aspires to serve as a central hub for researchers, academicians, and practitioners, fostering a global community dedicated to shaping the future of soft computing and its transformative potential in addressing the challenges of a rapidly evolving digital world.