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


Special Issue On: Bio-inspired Optimization Algorithms and their Applications

Submission Due Date
10/24/2018

Guest Editors
Dr. Pandian Vasant, Universiti Teknologi PETRONAS, Malaysia
Prof. Igor Litvinchev,Nuevo Leon State University (UANL), Mexico
Dr. Van Van Huynh, Ton Duc Thang University, Vietnam

Introduction
Bio-inspired optimization algorithms and optimization approaches are becoming very famous in the research area of artificial intelligence. Many real world and large scale problems, as well as many-objectives problems, can be successfully solved by bio-inspired optimization techniques. This biologically natured novel technique has been a cutting edge research methodology to most of researchers across the planet.

Objective
The main goal of this special issue is to bring in the hidden innovation and creative methodologies and its application in Bio-inspired Optimization Algorithms. Authors are very much encouraged submitting new or modified cutting edge original algorithms or application in academia and industrial exercises and practices.

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

  • Particle swarm optimization (PSO)
  • Ant colony optimization (ACO)
  • Artificial bee colony (ABC)
  • Cuckoo search (CS)
  • Bat algorithm (BA)
  • Bio-inspired computation, and its application in solving real world problems as well as large scale problems in engineering, science, technology, economics, management, finance, industry, humanity and social science


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Bio-inspired optimization algorithms and their applications on or before 24th OCTOBER 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. Pandian Vasant
Prof. Igor Litvinchev
Dr. Van Van Huynh

Guest Editors
International Journal of Swarm Intelligence Research (IJSIR)
E-mail: pvasant@gmail.com; igorlitvinchev@gmail.com; huynhvanvan@tdt.edu.vn

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

Submission Due Date
10/30/2018

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 June 30, 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