Calls for Papers (special): International Journal of Swarm Intelligence Research (IJSIR)


Special Issue On: Swarm Intelligence: Advanced Applications and Technologies

Submission Due Date
3/10/2018

Guest Editors
Hani Hamdan, CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S UMR CNRS 8506), Université de Paris-Saclay, Paris, France
Faouzi Hidoussi, Corgascience, Qatar

Introduction
This Special Issue aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges, emerging technologies and Applications in standards on topics relevant to today that are fast moving areas of Advanced Applications and Technologies related to Swarm Intelligence

Authors of accepted papers related to this special issue from ESG (International Conference on Energy Engineering and Smart Grids) and ISC (International Conference on Information Society and Smart Cities) conferences, are invited to submit their extended papers.

Objective
This special issue will let students and researchers to learn more about new technologies and applications that will be covered by this Special issue.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Applications in machine learning
  • Ant colony optimization
  • Applications in bioengineering
  • Applications in bioinformatics
  • Applications in business
  • Particle swarm optimization
  • Modeling and analysis of collective biological systems


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Swarm Intelligence: Advanced Applications and Technologieson or beforee March 10, 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Hani Hamdan & Faouzi Hidoussi
Guest Editors
International Journal of Swarm Intelligence Research (IJSIR)
Emails: Hani.Hamdan@centralesupelec.fr; hidoussi.fa@gmail.com

Special Issue On: Bio Inspired and Soft Computing Methods for Solving Time Series Problems

Submission Due Date
4/10/2018

Guest Editors
Dr. Habib Shah, College of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia

Introduction
Bio-inspired and soft computing methods have motivated scientific researchers to enhance the nature attractive behaviours of birds, fishes, animals, insects for solving complex nonlinear science, engineering, economical, medical and metrological problems. These methods are comparatively efficient than typical algorithms. How to use bio-inspired and efficient soft computing and computational methods for solving time series problems especially with complex, noisy and natural dataset to provide economic stability and security of human being like: Univariate and Multivariate Financial, Stock Exchange, Crude Oil Time Series, Natural Disasters Earthquake, Floods, Tsunami, Ozone Gas, Wildfire, Volcanoes, Heat Waves Temperature, weather, Storm Time Series and Medical time series dataset like breast cancer, Breast Tissue, Diabetes, X-Ray and others different types for time series dataset. The latest and hybrid bio-inspired methods will be used for prediction/ forecasting, detection and classification tasks through different computational tools. The success of bio-inspired and soft computing methods depends on the variety of algorithms and techniques that usually belong to one of the main learning styles: supervised, unsupervised, and reinforcement learning.

Objective
This special issue aims to demonstrate how soft computing and bio inspired learning algorithms have contributed, and are contributing to the research and applications of prediction, detection and classification of complex and nature time series dataset. This issue seeks to publish unique research and reflect the most recent advances and the latest contributions of optimization in the subject areas below, covering soft computing and recent bio inspired based learning algorithms. The field of bio inspired and soft computing methods are vast, flexible, and interesting, therefore, the scope of this special issue has been kept wide and following are the topics covered in this special issue

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • African Buffalo Search
  • Artificial Bee Colony
  • Ant Colony
  • Particle Swarm Optimization
  • Hybrid bio inspired methods
  • Cuckoo Search
  • Evolutionary algorithms
  • Fish Schooling
  • Bee Colony optimization
  • Artificial immune systems
  • Case based reasoning
  • Computational Statistics
  • Genetic algorithms
  • Hybrid intelligent systems
  • Intelligent systems
  • Nature inspired computing


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Bio Inspired & Soft Computing Methods for solving Time Series problems on or before March 31, 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Habib Shah
Guest Editor
International Journal of Swarm Intelligence Research (IJSIR)
E-mail: habibshah.uthm@gmail.com