Applied Soft Computing

The Official Journal of the World Federation on Soft Computing (WFSC)

Applied Soft Computing - ISSN 1568-4946
Source Normalized Impact per Paper (SNIP): 2.369 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.216 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 4.873 (2018) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 4.858 (2018) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 86-97
Issues: 12 issues
ISSN: 15684946


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Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities.

Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.

Major Topics:

The scope of this journal covers the following soft computing and related techniques, interactions between several soft computing techniques, and their industrial applications:

• Ant Colony
• Chaos Theory
• Evolutionary Computing
• Fuzzy Computing
• Hybrid Methods
• Immunological Computing
• Morphic Computing
• Neuro Computing
• Particle Swarm
• Probabilistic Computing
• Rough Sets
• Wavelet

The application areas of interest include but are not limited to applications of soft computing to:

• Agricultural Machinery and Produce
• Autonomous Reasoning
• Bio-inspired Systems
• Biomedical Engineering
• Condition Monitoring
• Consumer Electronics
• Data Mining
• Data Visualisation
• Decision Support
• Engineering Design Optimisation
• Fault Diagnosis
• Human-Machine Interface
• Industrial Electronics
• Intelligent Agents
• Intelligent Information Retrieval
• Internet Tools
• Manufacturing Systems
• Motion Control and Power Electronics
• Multi-objective Optimisation
• Nano and Micro-systems
• Power and Energy
• Process and System Control
• Process Optimisation
• Reactive Distributed AI
• Robotics
• Signal or Image Processing
• System Identification and Modelling
• Systems Integration
• Telecommunications
• Time Series Prediction
• Virtual Reality
• Vision or Pattern Recognition