Journal Information
Applied Soft Computing
http://www.journals.elsevier.com/applied-soft-computing/
Impact Factor:
2.857
Publisher:
ELSEVIER
ISSN:
1568-4946
Viewed:
3137
Tracked:
7

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Call For Papers
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:

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

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

• Decision Support
• Process and System Control
• System Identification and Modelling
• Engineerin Design Optimisation
• Signal or Image Processing
• Vision or Pattern Recognition
• Condition Monitoring
• Fault Diagnosis
• Systems Integration
• Internet Tools
• Human-Machine Interface
• Time Series Prediction
• Robotics
• Motion Control and Power Electronics
• Biomedical Engineering
• Virtual Reality
• Reactive Distributed AI
• Telecommunications
• Consumer Electronics
• Industrial Electronics
• Manufacturing Systems
• Power and Energy
• Data Mining
• Data Visualisation
• Intelligent Information Retrieval
• Bio-inspired Systems
• Autonomous Reasoning
• Intelligent Agents
• Multi-objective Optimisation
• Process Optimisation
• Agricultural Machinery and Produce
• Nano and Micro-systems
Last updated by Dou Sun in 2017-03-04
Special Issues
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition
Submission Date: 2017-04-30

The intertwining disciplines of computer vision, image analysis, signal processing and pattern recognition are major fields of computer science, computer engineering and electrical and electronic engineering, which have attracted the interest of many researchers. The past and on-going research covers a wide range of topics and tasks, from basic research to a huge number of real-world industrial applications. To deal with these problems, many traditional and recent methods, algorithms and techniques have been developed. Among the methods and techniques studied and applied within these research fields, evolutionary computation (EC), including evolutionary algorithms, swarm intelligence and other paradigms, is now playing an increasingly important role. The terms Evolutionary Computer Vision, Evolutionary Image Analysis, and Evolution Pattern Recognition are more and more commonly accepted as descriptors of a clearly defined research area and family of techniques and applications. This has also been favoured by the recent availability of environments for computer hardware and systems such as GPUs and grid/cloud/parallel computing systems, whose architecture and computation paradigm fit EC algorithms extremely well, alleviating the intrinsically heavy computational burden imposed by such techniques and allowing even for real-time applications. The overall aim of this special issue is to collect state-of-the-art contributions on the latest research and development, up-to-date issues, and challenges in the field of Evolutionary Computer Vision, Image Processing, Pattern Recognition and related applications. Proposed submissions should be original, unpublished, and present novel in-depth fundamental research contributions either from a methodological perspective or from an application point of view. Potential topics of interest include, but are not only limited to: 1. New theories and methods in different EC paradigms applied to computer vision, image processing and pattern recognition including Evolutionary algorithms such as genetic algorithms, genetic programming, evolutionary strategies and evolutionary programming; Swarm Intelligence methods such as particle swarm optimisation, ant colony optimisation, and differential evolution; and Other approaches such as learning classifier systems, artificial immune systems, evolutionary multi-objective optimisation, evolutionary learning, memetic computing. Cross-fertilization of evolutionary computation and other soft computing techniques such as neural networks and fuzzy systems is also encouraged. 2. Applications of EC and EC-related techniques to computer vision, image processing and pattern recognition, including Edge detection Image segmentation Automatic feature extraction and construction in complex images Object identification and scene analysis Object detection and classification Handwritten digit recognition and detection Vehicle plate detection Face detection and recognition Texture image analysis Automatic target recognition Gesture identification and recognition Robot vision Signal Processing Typical pattern recognition tasks such as classification, regression and clustering Feature selection/construction and dimensionality reduction Generalisation, transfer learning, and domain adaptation Medical and bio-medical data analysis Submission format and Guidelines Papers will be evaluated based on their originality, presentation, relevance and contribution to the development of evolutionary computer vision, image processing and pattern recognition methods, as well as their suitability and quality in terms of both technical contributions and written presentation. The submitted papers must be written in good English and describe original research which has not been published nor is currently under review by other journals or conferences. Extended versions of recent papers submitted to/accepted by/published in related events such as SoCPaR, EvoIASP, IEEE CEC special sessions on evolutionary computer vision, evolutionary feature selection and evolutionary transfer learning, and IEEE SSCI Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition (FASLIP) are also encouraged. Such submissions should be clearly identified by the authors and, with respect to the original conference version, a significant amount of additional and different materials and information should be included and clearly described in the manuscript. The Guest Editors will make an initial check of the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be considered for review and the authors will be promptly informed of such a decision. Author guidelines for preparation of manuscripts can be found at http://www.journals.elsevier.com/applied-soft-computing/. Authors should select article type name of "SI: EvoVision" during submission process. Applied Soft Computing Journal is indexed, among others, by Science Citation Index Expanded (SCIE), Engineering Index (EI, Compendex), DBLP, Scopus, Google Scholar, etc. Its impact factor is 2.857 and 5-year impact factor is 3.288. It is rated as a Region 1 (Q1) journal by Thomson ISI and is ranked first by Google Scholar among EC-related publications, according to the h5 index. Tentative Timeline: First submission deadline: April 30, 2017 First review results: July 31, 2017 Revised version submission: September 30, 2017 Final decisions: November 30, 2017
Last updated by Dou Sun in 2017-03-04
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