Soft Computing

About the journal

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.

Articles

• S. Al-Baddai, P. Marti-Puig, E. Gallego-Jutglà, K. Al-Subari, Ana Maria Tomé, B. Ludwig, Elmar W. Lang, J. Solé-Casals. A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions. Soft Computing, vol. 24, no. 5, p. 3809-3827, March 2020
• Rómulo Antão, Alexandre Mota, Rui Escadas Martins. Model-Based Control using Interval Type-2 Fuzzy Logic Systems. Soft Computing, vol. 22, no. 2, p. 607-620, January 2018
• Fernando Almeida, Pedro Henriques Abreu, Nuno Lau, Luis Paulo Reis. An automatic approach to extract goal plans from soccer simulated matches. Soft Computing, vol. 17, no. 5, p. 835-848, May 2013

Impact factor

The impact factor of Soft Computing is as follows: